{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "cell_id": "c42a8cd1c5d2424d841838cb0d270f24",
    "deepnote_cell_type": "code",
    "deepnote_to_be_reexecuted": false,
    "execution_millis": 5675,
    "execution_start": 1672374503688,
    "source_hash": "1f7e4977"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "数据集大小：1000\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from tqdm import tqdm\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "\n",
    "# 导入数据集\n",
    "data = np.loadtxt('sindata_1000.csv', delimiter=',')\n",
    "num_data = len(data)\n",
    "split = int(0.8 * num_data)\n",
    "print(f'数据集大小：{num_data}')\n",
    "# 数据集可视化\n",
    "plt.figure()\n",
    "plt.scatter(np.arange(split), data[:split], color='blue', \n",
    "    s=10, label='training set')\n",
    "plt.scatter(np.arange(split, num_data), data[split:], color='none', \n",
    "    edgecolor='orange', s=10, label='test set')\n",
    "plt.xlabel('X axis')\n",
    "plt.ylabel('Y axis')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "# 分割数据集\n",
    "train_data = np.array(data[:split])\n",
    "test_data = np.array(data[split:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "cell_id": "4878f878be4942968628d98d3edc0baa",
    "deepnote_cell_type": "code",
    "deepnote_to_be_reexecuted": false,
    "execution_millis": 11,
    "execution_start": 1672374509367,
    "source_hash": "20c1fcd1"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "训练序列数：38\n"
     ]
    }
   ],
   "source": [
    "# 输入序列长度\n",
    "seq_len = 20\n",
    "# 处理训练数据，把切分序列后多余的部分去掉\n",
    "train_num = len(train_data) // (seq_len + 1) * (seq_len + 1)\n",
    "train_data = np.array(train_data[:train_num]).reshape(-1, seq_len + 1, 1)\n",
    "np.random.seed(0)\n",
    "torch.manual_seed(0)\n",
    "\n",
    "x_train = train_data[:, :seq_len] # 形状为(num_data, seq_len, input_size)\n",
    "y_train = train_data[:, 1: seq_len + 1]\n",
    "print(f'训练序列数：{len(x_train)}')\n",
    "\n",
    "# 转为PyTorch张量\n",
    "x_train = torch.from_numpy(x_train).to(torch.float32)\n",
    "y_train = torch.from_numpy(y_train).to(torch.float32)\n",
    "x_test = torch.from_numpy(test_data[:-1]).to(torch.float32)\n",
    "y_test = torch.from_numpy(test_data[1:]).to(torch.float32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "cell_id": "c666be20f0c44a688689e845691a6a6d",
    "deepnote_cell_type": "code",
    "deepnote_to_be_reexecuted": false,
    "execution_millis": 7,
    "execution_start": 1672374509383,
    "source_hash": "9e3243e5"
   },
   "outputs": [],
   "source": [
    "class GRU(nn.Module):\n",
    "    # 包含PyTorch的GRU和拼接的MLP\n",
    "    def __init__(self, input_size, output_size, hidden_size):\n",
    "        super().__init__()\n",
    "        # GRU模块\n",
    "        self.gru = nn.GRU(input_size=input_size, hidden_size=hidden_size) \n",
    "        # 将中间变量映射到预测输出的MLP\n",
    "        self.linear = nn.Linear(hidden_size, output_size)\n",
    "        \n",
    "    def forward(self, x, hidden):\n",
    "        # 前向传播\n",
    "        # x的维度为(batch_size, seq_len, input_size)\n",
    "        # GRU模块接受的输入为(seq_len, batch_size, input_size)\n",
    "        # 因此需要对x进行变换\n",
    "        # transpose函数可以交换x的坐标轴\n",
    "        # out的维度是(seq_len, batch_size, hidden_size)\n",
    "        out, hidden = self.gru(torch.transpose(x, 0, 1), hidden) \n",
    "        # 取序列最后的中间变量输入给全连接层\n",
    "        out = self.linear(out.view(-1, hidden_size))\n",
    "        return out, hidden"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "cell_id": "21fca9b333944493a81a34829389e346",
    "deepnote_cell_type": "code",
    "deepnote_to_be_reexecuted": false,
    "execution_millis": 7,
    "execution_start": 1672374509390,
    "source_hash": "bf557684"
   },
   "outputs": [],
   "source": [
    "# 超参数\n",
    "input_size = 1 # 输入维度\n",
    "output_size = 1 # 输出维度\n",
    "hidden_size = 16 # 中间变量维度\n",
    "learning_rate = 5e-4\n",
    "\n",
    "# 初始化网络\n",
    "gru = GRU(input_size, output_size, hidden_size)\n",
    "gru_optim = torch.optim.Adam(gru.parameters(), lr=learning_rate)\n",
    "\n",
    "# GRU测试函数，x和hidden分别是初始的输入和中间变量\n",
    "def test_gru(gru, x, hidden, pred_steps):\n",
    "    pred = []\n",
    "    inp = x.view(-1, input_size)\n",
    "    for i in range(pred_steps):\n",
    "        gru_pred, hidden = gru(inp, hidden)\n",
    "        pred.append(gru_pred.detach())\n",
    "        inp = gru_pred\n",
    "    return torch.concat(pred).reshape(-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "cell_id": "e888ad68e0cc45828e289eccd5af6c52",
    "deepnote_cell_type": "code",
    "deepnote_to_be_reexecuted": false,
    "execution_millis": 10,
    "execution_start": 1672374509441,
    "source_hash": "3d4eeef3"
   },
   "outputs": [],
   "source": [
    "# MLP的超参数\n",
    "hidden_1 = 32\n",
    "hidden_2 = 16\n",
    "mlp = nn.Sequential(\n",
    "    nn.Linear(input_size, hidden_1),\n",
    "    nn.ReLU(),\n",
    "    nn.Linear(hidden_1, hidden_2),\n",
    "    nn.ReLU(),\n",
    "    nn.Linear(hidden_2, output_size)\n",
    ")\n",
    "mlp_optim = torch.optim.Adam(mlp.parameters(), lr=learning_rate)\n",
    "\n",
    "# MLP测试函数，相比于GRU少了中间变量\n",
    "def test_mlp(mlp, x, pred_steps):\n",
    "    pred = []\n",
    "    inp = x.view(-1, input_size)\n",
    "    for i in range(pred_steps):\n",
    "        mlp_pred = mlp(inp)\n",
    "        pred.append(mlp_pred.detach())\n",
    "        inp = mlp_pred\n",
    "    return torch.concat(pred).reshape(-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "cell_id": "70713fd8687b4599ae6d1d920f03dbbd",
    "deepnote_cell_type": "code",
    "deepnote_to_be_reexecuted": false,
    "execution_millis": 42604,
    "execution_start": 1672374509453,
    "source_hash": "178bc5d9"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█| 150/150 [02:00<00:00,  1.24it/s, Epoch=149, GRU loss=0.0034, MLP loss=0.0056, GRU test loss=0.0392, MLP test lo\n"
     ]
    }
   ],
   "source": [
    "max_epoch = 150\n",
    "criterion = nn.functional.mse_loss\n",
    "hidden = None # GRU的中间变量\n",
    "\n",
    "# 训练损失\n",
    "gru_losses = []\n",
    "mlp_losses = []\n",
    "gru_test_losses = []\n",
    "mlp_test_losses = []\n",
    "# 开始训练\n",
    "with tqdm(range(max_epoch)) as pbar:\n",
    "    for epoch in pbar:\n",
    "        st = 0\n",
    "        gru_loss = 0.0\n",
    "        mlp_loss = 0.0\n",
    "        # 随机梯度下降\n",
    "        for X, y in zip(x_train, y_train):\n",
    "            # 更新GRU模型\n",
    "            # 我们不需要通过梯度回传更新中间变量\n",
    "            # 因此将其从有梯度的部分分离出来\n",
    "            if hidden is not None:\n",
    "                hidden.detach_()\n",
    "            gru_pred, hidden = gru(X[None, ...], hidden)\n",
    "            gru_train_loss = criterion(gru_pred.view(y.shape), y)\n",
    "            gru_optim.zero_grad()\n",
    "            gru_train_loss.backward()\n",
    "            gru_optim.step()\n",
    "            gru_loss += gru_train_loss.item()\n",
    "            # 更新MLP模型\n",
    "            # 需要对输入的维度进行调整，变成(seq_len, input_size)的形式\n",
    "            mlp_pred = mlp(X.view(-1, input_size))\n",
    "            mlp_train_loss = criterion(mlp_pred.view(y.shape), y)\n",
    "            mlp_optim.zero_grad()\n",
    "            mlp_train_loss.backward()\n",
    "            mlp_optim.step()\n",
    "            mlp_loss += mlp_train_loss.item()\n",
    "        \n",
    "        gru_loss /= len(x_train)\n",
    "        mlp_loss /= len(x_train)\n",
    "        gru_losses.append(gru_loss)\n",
    "        mlp_losses.append(mlp_loss)\n",
    "        \n",
    "        # 训练和测试时的中间变量序列长度不同，训练时为seq_len，测试时为1\n",
    "        gru_pred = test_gru(gru, x_test[0], hidden[:, -1], len(y_test))\n",
    "        mlp_pred = test_mlp(mlp, x_test[0], len(y_test))\n",
    "        gru_test_loss = criterion(gru_pred, y_test).item()\n",
    "        mlp_test_loss = criterion(mlp_pred, y_test).item()\n",
    "        gru_test_losses.append(gru_test_loss)\n",
    "        mlp_test_losses.append(mlp_test_loss)\n",
    "        \n",
    "        pbar.set_postfix({\n",
    "            'Epoch': epoch,\n",
    "            'GRU loss': f'{gru_loss:.4f}',\n",
    "            'MLP loss': f'{mlp_loss:.4f}',\n",
    "            'GRU test loss': f'{gru_test_loss:.4f}',\n",
    "            'MLP test loss': f'{mlp_test_loss:.4f}'\n",
    "        })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "cell_id": "b1ae2fa073624621bc33e0afc6075bdf",
    "deepnote_cell_type": "code",
    "deepnote_to_be_reexecuted": false,
    "execution_millis": 634,
    "execution_start": 1672374567162,
    "source_hash": "1709638a"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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BjppBDYCSzbB/ccvOrxWSwIYQovXZuxcuuADuu692n7P/+z947DHo2jV8cxNCCCFEo+TlqToRsoUiMNOnB3a/Rx+VY+qTvRB+mQN9/gpanQ0Qib2O/8NNreBGTZpVBTdEUElgQwgR3Twe+PxzeKHGfsZOneCqq+DmmyEmJnxzE0IIIUSz5Oaq7ILrrpMsg0Dk5cG33wZ+/4cfbrm5RCx3hbpuPwL63w9oYEmGjhdTK3PDkuD78boTnKUtPctWRwIbQojo9t13Kjvj9tuhtMYvkVdfhWefhW7dwjUzIYQQQjSDry0VkmVQv5qJqoFYtEiO50niOkLaYPjhdohNg4Ru4CqBfR+Bo5ATZSxNNv/Pse35EEy0dZHAhhAieng8sHSpas/qNXIkDBumTuVUVvp/rBBCCCEiir9FemMX761J796Nf4wczzo0E5zzPsRlwuo/QflOiO8Cw1+AS3ZA50vBFAuOI/6fo3IvHP0hZFNuDSSwIYSIHq+8AmPHqgKg+vFWW5qmTjXMng0dOoR3fkIIIYQIGn+L9KYs3luLnBy4667GPUaOpw8xbcBxDOK7wqm5EJMG6/6qCof2uB48duh8BbQ/p/oxSdkw5KnqTI6Nj4Rn7lFKAhtCiMjk8cCSJbXzIy+7TNXPGDsWKiqqx6WdlhBCCBF1fC3Sc3OlTWlDZs5UpcfOPbfh+/brJ8fTpyPfQ+lWOHshnP4IXPClqpux90PImgDDnoW9H8DhrwCrekzpVvjhjyrTA8BZHLbpRyNLw3cRQggD+sc/4P774aKL1AZQgMRE2LkTzOawTk0IIYQQoTFzJkyerLZL9O4ti/BA5ObW3+61pg0b1DkkOa41FK6F9cerqn59OXS6FPpMR7V9PX4yLaEreBxw9ofQ8SJ4MwE8Veq28h1qq0ra4HDMPmpJxoYQwvjcbli8GLZvrx779a8hLQ2ys6u3nYAENYQQQohWJC9PghqN4avgakOkxkYNh7+BT3Pg0DL1dflOyH8KFvUDaypkXaLGqw6p64xzwWSCs96u/TxpA6H/vSGadOsggQ0hhPHdcguMHw///W/1WHY2HDgATzwhW02EEEKIVkhavTZeU4IUv/winVEAcNth5c1gjgVzAoz7EWLaAbqqrTHiZYjvCHs+gJ3zAQ2+ukQFQ3a9AZjhtIcg+w+q/kblwTC/oegigQ0hhLG4XGprSXGNfYeTJ6vsjOTk2veNiQnt3IQQQggRdnl58OCD0uq1KZpSCHTGDAkc4XbAl2OheAO4q8BdDkuGH+984lH3cZXCjldg+aXgLIPE7nDwC1g6Cna/BQP/DhtnwtbZsC4XFp0KO18P69uKJhLYEEIYy4QJcPHFqsOJ19ixsHev+s0qhBBCiFbLm6Xh708C2TbRclp14KjgLTi0HLr9BnQVyFhZbq++3RQLPz8Am/6fqrkx9luYuA0yxkLyqTBpP2x5UgVEvHQXfHsNFG0I8ZuJThLYEEKEj9sNn3xSu0bG2LHQrh04ndVjZjPExYV+fkIIIYQwjEDqQ3gzEvLyYP78VrwQ96O5gZ9WGziq2g+WBDj9cdBMvFgENx6CF4vhKDZI6AalW9SWlPiuapu0pkFST8AD9kNQuV8FQGLSUIVGUdffXh22txVNJLAhhAgPXVenXC66SLVt9fr972HfPvjzn8M3NyGEEEIYTiCL6qlTpfZGfWr+yVXXhAnwwAP1P74pW1miQpth4Cqn4O3O/K/Qxd8L4RcHzDhm5dZ9VSw9XABxWZB1MWx7Djb8Czb8E36Zo8bcFep5PHZwFMGw5wETaBYo+rm62KhoMmn3KoQIDY8H1qyBoUPV15oGZ5yhKlIdrFE8KT4+PPMTQgghhKEFsqjesEFdanr0UVWuq7V3TcnLgwUL/N++aBFcdpn/23NzW/ExTD+HX/RkLtpdwg4XuI4PVzid7HbCx+WVvN3v94zq93vinaXw8/3qDt1/CwP+rv4d3wUqCgAdVt10/BmOd/Or2Au2DiF8Q9FHMjaEEC2vslL9NTJsmApkeN1/P+zerU6pCCGEEELUIycHrr22aY9ttVsoanj44Ybvs3s33HWX79vWr2+9W3uOFBfw130lFHnMOFEbSWpeSoHrv57N//vuvxSfPguurFSXnP+pLiq6G2LbnfzEMWlqi0tij1C+nagkGRtCiODTddi1C7p1U1/HxUGvXnD4sPqt2LOnGm/n4z94IYQQQgg//vhH+O672udJAtFqt1Acl5enMjICsWyZ7/FFi9Tlrrtg5sygTc3wnG4nCza+g8VsoTpX42SlzlKWbF9CYmwit+XchtVsrb4x/wko2QjnL4dtz8KuV9W4qxRGvgoxKU2en8fjwV3uVlM7PkXdqeOqcoGGirxoYLKa8Dg8fsc0NHSzjubW0HU9oMd4x8wxZjRNQ4vTTszDFGPCFGNC07Qmv7fGkMCGECK49u1TXU127FBh/8RENf7cc9C+vWw1EUIIIUST5OY2XDy0Rw8480xVOLTm41rtForjAs1YcTph5cr679Mat/YcrjjCHmtHyjwFfu9jd9mpdFVSWFl48o2lWyF1AKSfBR1GQbsR8MNtMOZraDOk0fPRdR233Y273I1jjQNXvgscqGCDB/Vv/zGY4LOidtXEHv/aDJZ0CzEDY4jpFROS4IYENoQQzafrqmYGQHo6lJWB3Q6rVsG556rxrl3DNz8hhBAizPLyVCMwgPHjW9eiMBjmzGk4qAGwfbu6XHutarTWu7ccawgsYyU3F44eDez5tmxpPce1wlmBy+Oi0GOmsp77OT1OjlUcw627qXBWkGKukYWR3Ad2vgb7l0KbwXBgKVhTVbCjkTweD1WbqnB870Av01VxiUrA3tAjW5Dz+KUKNR8r6KU6eqmuAizWeh8dFFJjQwjRdFVV8NhjKnjhbdlqNsNrr6lsDW9QQwghhGjFvF06ZsxQF+nU0Ti5uTBtWuMes2CBBDVqysk5uXZGbi58/z3Mm6euL7sMXAGe5W8tW3ucbiev/PwKZc4yylwOAJJQ6/RYIAYwY8aECR2dw5WH2VW0i5fWvYTT7ax+olP+DO1Hwpdj4Z12cOAzGDkfTI1b8eu6jn2zHfsqO3qRrgIJVaigghFogAXM7czEDIghtn8smlW2ogghjK64GB58EMrL4Ysv4Pzz1fiQxqfUCSGEENEoL893pkFrTOdvCn/Hr6bTToOffz55vDVlFQRi5kz1mduypXbQJycnsG0+Xq1pa4/VbGVUl1Ecq1SZGHGWeGxmC3G6i55J6RzTrRSU7AGOb0VxVrLh8Aa6pnatnbVhtsG5S+Dgl+A4Bm2HQ2K3Rs/HVeXC+aMTrUJDT9RV1VI7avuJEZhBS9Kw9LAQc0oMWkxoghogGRtCiEB5PPDBB/C3v1WPpafDI4/Aiy/C6NFhm5oQQghhVPXVNnjppdbbZSJQgdSG8BXUgNaTVRCovLyTgxre8UCDGi+8AP/6V8vMz4icbicrClbw48EfKXOUYTFZSIpvR7vkbiSn9ubMLmeREpuCSTNhMVnw4KGksoQj5UdOztowWSBzDHS9sklBDbfbjX2FHU+RB82qobk0VdfCKEENALfaguLa7sKR70B36CF76bAGNpYvX87EiRPp2LEjmqbx3nvvNfiYr776iiFDhmCz2ejRowfPPvtsy09UCAHbtsGll6pwf0GNwkl/+hNcf73agiKEEEKIWupbXD/3nGxLaciSJeGeQXTwboe67jp1ffHF1UG1xrTCfffdlpmfUTk9TnKycjhcfhiTycTwrOEkxiTSNbUrUwdN5XeDfkdGUgbooGkaJkwcqjjExsMbOVx+OGjz0HUd5yYnnoMeTG1UVxK9QoeyoL1EcOiAC9xH3Dh+cmBfb0d3hia4EdbARnl5OQMHDuSpp54K6P47duzgoosu4qyzzmLt2rXcc8893HbbbbzzzjstPFMhWhmnEz79VGViePXurSpx3XUXxMb6f6wQQgghTvBV26CuRx+VzA1f8vJUrYymasyCPZr5yshYtKg6qNaYzJZFi1rPZ9XpdjJ33Vzez38fNLBoFvaX7MFdeYiUyl1MSk0mJyuHeGs8cdY4LCYLFpMFu9tOYWXhiSKiweBxePDs96DFaXgqPKpYaFVQnjo4rIANSEEVIUlQW1K0JC1kxS/CWmNj/PjxjB8/PuD7P/vss3Tp0oUnnngCgL59+7J69Woee+wxLr/88haapRCt0KpVMG4cJCfD1VdDXJwar9k7TQghhBABmTlT/SqdMcP/fT75pPXULQhUcwMTDkdw5hHp6juO3lovd90V+HaU1lK7xFtf48P8DzlacZREazzxFdtJwkkfZxnWr8bBkP9w67BbufeLeylzlhFnjaPEXkKxo5hSeymv/PwKNw6+Eav5eJHQo6sgb5pq/5rUG0bMabDdq67ruHa48FR5wAR6lU6t9iwaEI+qZFoJWEHrpWE5zYLJZFJZFBqYrCrTAw2fYxoaullHc2vouh7QY7xj5hgzmqahxWmqC4oFTDEmTDGmkLR6hQgrHvrdd98xduzYWmMXXnghc+bMwel0YrWeXFXWbrdjt1f3vikpKWnxeQoRUQ4eVD3UOnVS+YmgQviDBqnr8vLqwIYQQgghmmT8+PoDG+Jkza2RMW2aWoTPnBmc+USqhgI83mNUs7DowoX+Ax2bNwd/jkbkra+xtXArZY4yzK5SnB4XbbuOo6xNP5ypZVjX/pWrf1XMgp8WUO4ox4OHWHMsZfYykmKSGNV5VHVQo3I/fHkhJGXDwH/Azlfhi7Fw0XqIz/Q7D92p497rBqcqHkpRjRvNQDKYYlUAwzLMgrWvFUvi8aBGKxJR7/bAgQOkp6fXGktPT8flcnHkyBGfj3nkkUdISUk5cencuXMopipE5HjjDbj3XlUE1Nuy1WSCNWtg9mxo1y688xNCCBEWeXkqUa+1pJ23tJwctaPTH/kT9WSBbONpSGvf5hNIq1xvACknB6ZMUdczZ8IDD/i+/z//2TrqwljNVsb0GENhRSFOt5NR8RZM6JgOf8tNbWOxdhwHHgfOioO4dBdt4tqQYElA0zSqXFV8v/d7lmxfQnFVsXrCg8tUR5RzPoSMseBxgKMQ3u8KK28Bt+8IlK7r6E4dZ6ET9lFdLNQKxIOprQndrWPuZsY21EZMckyrC2pAhAU2gJNSWfTjCzF/KS533303xcXFJy67d+9u8TkKYVivvw6/+13tDas33ABjx8Ldd6vOJ0IIIVq9uoUGW8MiJhTqJB7XMm2aHGdfJk/2f9vUqWrx7W8B7tVaa20E0u3kzDP9byupr2JAawgYVTgraJ/Qnl5tehHvqaKo8ig9LDpnJiWRveUf8MNtEN8Za0Infjfwd5g0E5WuStIT0tE0ja1Ht7L58Obq7ijm4zXqts+Dj/tD0U/qa90Nv8yBn+47aQ4ntqHYPSqg4UJtAbECMcfrWDg1LD0t2M6zYW7FxfwjKrCRkZHBgQMHao0dOnQIi8VC27ZtfT4mNjaW5OTkWhchWq2ff4aXX4aPPqoeS0xUhUKvu046mwghhPC5GGoNi5hg85Xx0tDWCjnOJ3v4Yd/jI0eq1qMPPlj/Ahxab9vXQAI6jz/u/7aGMmaiOWDkLRw667tZbD66Gau7BFtiVw5ZM8gr3INTByr3wVkLwWTmilOvoFtqN0yaiRJHCYkxiZQ6StlSuKU6YyNjrNqGsu6v6muTFWwZqJYqFtj7wUnz8G5D8dg9UIFavVtQW1BMYE4xY2pvwnaWDYsloqpMBF1EBTbOOOMMli5dWmtsyZIlDB061Gd9DSFatYULYeJE+O676rE//xnuuw9uuSV88xJCCGFo/hYr0byICba6GS9TpqjxnBzo16/+x8pxrpaXp7pw+PLtt9UZLvVt8/FurWiNGgroBHJsZs5UAaSmPH8k825DSbWl4va46WI1Y3UVMzo5gUu7j8KaOUYV/2w79MT9z+x8Jh2TOmIz2wCodFSSYE3g4t4X4/Q4wZoII185/gomsGXCuLUQ3xk8VWD2XdNOS9JUUMONytaIUQ83JZrACtbuVsyxcnIyrIGNsrIy1q1bx7p16wDVznXdunUUFBQAahvJdd5ihsAtt9zCrl27mD59Ops2beLFF19kzpw53HnnneGYvhDGUqNILgDvvacyM155pXqsQwd46CEYPTqUMxNCCBFB/C1WonkRE0y+Ml4WLIBRo1RmwYYN9T9ejnO1hoI8NTNc/G3zGTMmuHOKJA1lXAR6bKZOPfl5cnOjP2CUlZxF3/Z9sZos7HY6Ka4q4gxzMROqVsGBpdD117Xuf3a3s7FZbLg8LkyaCQ8efin8hTc2vMHzPzyvtqOkDgDNCpoJKgrgywvUNUDf2mtaXddx73arjiXesgsxqOBGHGhWDVOMCUt3S8g6jxhZWAMbq1evZtCgQQwaNAiA6dOnM2jQIO6//34A9u/ffyLIAdC9e3c+/vhjli1bxumnn87DDz/Mk08+Ka1eRevmdMKvfw3t20PNrVo33qiyM/74x/DNTQghRMTxtRhqDYuYYPG3GP/mG1i8uP7HynGubcmShu/jPd7+On+09pavwcq4mDkTvv8e5s1T1//6V3DmZ1TerSizV86muGwPabgojunA7KOVzK1IVFtR4rJqPSYnKweP7iHGHIPVZCXWEsvB8oOs2ruKw+WH1Z3MsTDsGdBd6uvi45HOvndBt2tqT8IFnkoPnioPngrPiS0oJpsJU5wJLVFTrV0lqAGEud3r6NGjTxT/9GXu3LknjZ1zzjmsWbOmBWdlfLt3w+rVcNll4Z6JCBuXC7z76KxW2LULSktVvubUqWr8rLPURQghhGgkb+vHTz5RXzdUw0BUa0rGxQMPqGMsQY1qeXm1a5374z3eMTG+b3/33eo/jVqrqVPhq69UzRevpgTRcnJaz2fUuxUl/0g+BY6jmM3gbnMaXdr1Y8zQm7B+PhjcFSc9rl/7flQ4K9hTugebxUa5o5xjlceIMdf4gPaaCmmDYOtsMFkg+/eQNvDkSRz/U9+1w6UKh1rA3MaMXqSjmTWIAUsnC5pVAhsQYTU2hDJxItxxhzpR77VxY3WnThHFjh2DAQMgO7v2B2DmTFi1SnU4EUIIIYJg4UKYMUNdpDNK4Bpq61rXuHGqAGZrWTAGKpBaIzUX5/4yMxYtkoKsubm1gxrXXhv9GRfBkJWcxbjscTgtieQ7zTiPrmZ8opmsn+4ENMg4v9b9rWYruaNySbWlous6cZY43Lobt8ddXWfDq+1gGPECDH/Wd1ADVMaG04Oma+i6jrmdGVOsCVM7tYQ3WWUbSk0S2IgwDodqbLFrFxw5osZ++gmGDoUrr1Qn7UWUKCtT9THefrt6LDUV9uyBnTtVJxOvs89WHwL5j00IIUQQ+OuMMmdOeOYTaRqzC3TxYgka+eIvUHHPPSdvh8jNVe1y/WnNBVn91XxpSrDHV6efaFVrK4qzkvQOgyl2O5id92/mbv8O55lvQkrfkx7XLbUbZY4yTJpJBSNMZortxbXrbAA4S2HNnfDFhZB3E1TuP3kSFtAsGh67R20/sZhAB71Kx9TWhKWnBVOMLOe95EhEmF27wOOB+HjIyFBjGzeqnQlvv63OqLTm/7wjWnm5CmZ4vfGGCqk/9FD1mKapgqC7d8PFF4d+jkIIIVoFf39LTJumfv20hoVNczT2bzFp83oyf1tL+vSp3c3D18K9rtZckDVYXY7qdvqJ9mCcdytKj7QedIjvwKTTrqNzt0l0P/VWxkxehbXzJX4fG2eNI8GagM1qIzkmmcLKQr7f831121ePC5ZdBNueA0sC7P0QlpwJjmO1nsdT4cG924051XxiG4qnzINm09DQsHSUbI2aJLARYbZtU9c9elSfnP/1r9W+uY4dVZBj2DC19hUR5OabITm59mbSyy+H/v3VJuea205GjoROnUI/RyGEEK1GfQvBRYtax8KmOZqykJYTU7UF2p2noePW2guyvvqq7/HGFFX1l8EV7cG47LbZnNv9XPaX7Wfl3pUkxSRxZf+ryW6b7fcxVrOVP+f8mbO7no1ZM5NiS8HlcdVu+3o0Dw6vgLPfhbMXwtjvoHwn7F544nl0Xce9X3VE0e065iQz7kI3ukvHU+TB0sWCKV6W8jXJ0Ygwv/yirnv1qj1+xhnwww+qlVhJiarD8be/SSVoQzp0SP2WqVkUJTNTpeJ4I1egtp38/LPaeGu1hnqWQgghWrGG2kRC61jYNNXChQ3fx9djZKtPtUC78/gLgDzwgOoG0q9f6/2c5uX578TjLyPGl2BlfUSSCmcFRVVFfFPwDW7dTd92fUmLS+OnQz81+NhJfSaxr2QfJfYSKhwV6OgUFBdUb0dxHM/ciDt+ojIuA0xWcFVWP4kLPGUePA4PWpymWrxqoJk0TGkmdLcOruC/70gmgY0I4w1s9Ox58m0ZGfD559X7OmfOhJdfDt3chA92O+zYUXtsxAj4zW9g5crqsVtuUd/cxx4L7fyEEEIIP+prE+kVzQubpgpka4Qv772ntvq05uyCurwtRh94QF18dQT0FwDZvl0dz9aydcKX+n4+G5NVFGj2TLTw1teY9d0sDpUfoktyF0odpVS5qtheuL26TkY97B47NosNi9lCjCWG/aX7WXdgndqO0mYY2NLh22tg2/Ow/DJUMdILqp/AAlqsBhWgl+ugoy4a4ATNpoW5v6nxSGAjwnhP6PsKbICKvv73vyrqf9ll0iQjpFyu2ikya9ZAu3Zqr1BNPXvCaaep1BqvjAy1v0gIIUTYLF++nIkTJ9KxY0c0TeO9995r8DFfffUVQ4YMwWaz0aNHD5599tmWn2gINRS4WLo0NPOIJM0N9qxcCffeG5y5RINAuvN4AyDeoqJ799buAgKtM8PIX+ChZo2SQOTkqMfUFM1bfLz1NVJtqcRaYhnacShHyg7S1eTkpk7ZWJ3FDT7+liG3cGaXMwGINcXi9DjpEN+By/pchjWuPZy7GNx2WHkzHFgKtg5wtPqkp+7U0St0iAHdpauAhg6mZBNavIZeJRkbdUlgI8KMGwdXXw2DB9d/v8suU78IzGb1dUUFTJgAy5a1+BRbB1ed/0meekoFJ958s3osLU0VA927t3ZR0MWLVSubMWNCM1chhBABKS8vZ+DAgTz11FMB3X/Hjh1cdNFFnHXWWaxdu5Z77rmH2267jXfeeaeFZxoagWQetJYOCY0RjLPY//xn68wwqKsxtR1qLr5rliyr6ZNPgjs/o8vJgeHDa4/166cCQI1Rt13suHHRv8Unu202w7OGU+4s58P896jY8wHDd88me93NsKgPHFnp97FOt5MSRwnbC7dT5aoCDVweF+sOrGPJ9iUqayPtdNXm1RwPff4CbXPg+9/CnvdVfY3dbnSPDg7QzBq6W8dT6sFj92DJsmBOMkvGRh0S2Igwt96qyjM0NkL62GPw8cdw7rlwySWqdINogtJSVdCkffvaBT0PHICjR2u3YO3cGdauhYICSEysHvdGm4QQQhjK+PHj+fvf/87kyZMDuv+zzz5Lly5deOKJJ+jbty/Tpk3jhhtu4LEI3lZYs51joJkHsh2ltkDqkwSiNWYY1NWU2g71BS9mzGhdAaO8vNo7nwE2bGjc58pXcGnx4ujf4lPhrGDt/rVYNAttnIcxO4+xpssfqRi/HhJ7wXdT/D7WarYyuutojlWpLieZiZloaBytOsqOYzt45edXcDoroOAN6P9/0HMqjHgZ2gyFna+AC9ylblU8NAa0RA3NrLpGmGJNoIG5s1k6otQhgY1W4k9/gt//Xq2pP/wQBg5UZR5+/DHcMzOwjz+GCy5QxTu9EhNh0yYoKqp98K64Ar78El56qXrMYoHTTweT/JgJIUQ0+u677xg7dmytsQsvvJDVq1fjdPreg2232ykpKal1MYq67RyXLAnscdG6z745vFsjJkxo3vO09qCRvyL4zfnMtaaAUTCKfjZ032g8nt4aG2sPrCUpNok2VJFka8vagmXM/fpenF2ugtIt4PbfpeHUDqfyq36/IiMxg2J7MfHWeACSYpIY1XkUVnOMqpnx0//BR6fAW4lQuBr2LoKjX6HFaujlOnqZrgIYx+tr6HYdLUFDs0pQoy5ZcUWQY8dUHcq6uyACkZYGs2erKO0VV6iGHK++qtbdEyaA2x306RpbzY4koCI/Z52ltoh4HT2qqrF++GH1mKbBG2+oYidDhlSPn346jB6tghlCCCFahQMHDpCenl5rLD09HZfLxZEjR3w+5pFHHiElJeXEpXPnzqGYaoN8nZX1l85fUzTvs28Ob8bLffc1XIC1Pq05aJSbq4p/+hqv7zM3fnzDz91aAkbBKPoZyH2j7Xh6a2z079CfkqoShsZZcVQe4jR3AWOKFmP96V6wZYLZf2sZp9vJzmM7ATBhwuFxUFpVyrqDx7ej7FsGeNSaRDOrC0Bid/Qvr0IvLpT6Go0kgY0IsnChqi95ySVNf45TToG33oLVq+HKK1UyQVJS9e4IXa/uvBKVvv5abTacNKn2+KpVsGKFKqHtNW4c/Oc/8Morte974YWqAKikfwkhRKtXNxVYPx4495cifPfdd1NcXHzisnv37hafYyAaW3tg6lSVkfCvf7XMfCJZ3cyXLVtO3poSSCZHc7M9Ipm/+i4vvNDwZy6QrUCtJWAUaMvcxj5HXf4yayJZdttseqT1YFthPiuP7kQzxTDcXEK21QXuSkgfXe/jrWYrE3pPQNd17G47mYmZuHQX2wq3qe0oa5/Bqdmg/dmgu0FXkQq9/bm4y/ujF/0i9TUaSQIbEcQbcOjevfnPNWSISjzYuhX+8Y/q8Q0boFcv1bTjoYfghx/A42n+64VE3YnecQd06wbvv189Fhenghhff137/vfeqwp/1qyw1L493HYb9OnTotMWQggRmTIyMjhw4ECtsUOHDmGxWGjbtq3Px8TGxpKcnFzrEomOHoX168M9C+PxV+xy8uTaXTvuu6/h51q0KLprGNTHXwZAjP8T5LXU7JLSmrp5+FK3Y0xTgpHe57j5Zt+3v/tu8+ZoNBXOCoqqivim4Bvc7kr6xkCaCX5yx0HWJZDUF6xJDT7P1addzaV9LqV9QnsqXZWkxKZgNVnJSspiVOYgrHoVFB/PFs+6VF1vmYPb1QH3sXZSX6ORJLARQbyBjV69gvecPXrUbh27Zo3aTbF+veoXPnQoZGbCNdeoxh/79gXvtYNmyxY477zaW0NA/dW1a1ftSqkDB6oMjB9+qJ1xMXEi/OpX0LFjaOYshBAi4p1xxhksrdPvdMmSJQwdOhSr1RqmWTVNIOn7Nb33ntom0JoWiIGor6aBt2tHTk7jCoxGYw2Dhmze7Hu8MZkB3uPtXdA3Z2Ef6Wp+9przHLt2+b5t0aLo+Yx662vM+m4Wh8oP0UUvpdQDVVjYbu6Ic/e7ULoJ2o4I6Ll2HtuJSTNhNVlxeBzsK93Hjwd/ZIUrCWdSX3AcA1MM7H1fbW/R7GixFnRPhtTXaCQJbESQbdvUdc1ARLBddx0cPAgvvqh2ayQmwqFD8NprqgxFzW0qa9eqyumrVkHIap999BFcdRX873/VY+3bqz6269bVjrzccQd89RX88Y/VY1aritJ07y5bSYQQQtRSVlbGunXrWLduHaDaua5bt46CggJAbSO57rrrTtz/lltuYdeuXUyfPp1Nmzbx4osvMmfOHO68885wTL9ZmtrJY+VKmDMn+POJVI2paVDzTPoDD9T/vNFWw6A+ubmq3a0vgWZs1BWMhX1rN2WK6obiT7S00vXW10i1pRJriWWoZz9H4rPpaoWbzL9g1YC4jtDjdwE916V9LqVjUkcSYxI5rcNpON1OdpfsJqfLKJw5x5sO6JqqsaG7gAT09hMg1lxdX0MDU5LU12iIBDYiRM3aFy0Z2ABo0wauv16llR09qpp9zJgBF11UOynipZdUIGT4cEhJUckO552n0tQeflg1DvFyOk+u11kvpxOeew6uvbZ21GTNGrVlZPny6rG0NBV52bxZpZd4DRoEZ58NqamNPAJCCCFao9WrVzNo0CAGDRoEwPTp0xk0aBD3338/APv37z8R5ADo3r07H3/8McuWLeP000/n4Ycf5sknn+Tyyy8Py/yby7vQfuABGDky8Me1xjPg/jS2poF3wd1QxkxrqQnhr7aGV1OOQ80WxqJp8vICKyYcLbLbZjM8azjlR37gw1I7FSVbGW6tINsbWItpE/AJ0kl9JpFgTcDhdrC/dD9mkxmXx8UbG97g+bUv4dQB3QmJPcF+FEwOyDwXzzFPdbaGDp4KD1qshinRJPU1/JDDEiGOHoXiYvXvHj1C97oxMarZx+jRJ9/Wtasaz8+H/furL19+qW6/9dbq+95+u0qyaNNGxSHatFGX1FRIialk5m9+IiHGCaNG8dlnsHGDhRvvu4+40sN8esptHMsejqZBatwkzvs/sE5SFbV++kllsri0q3CuBtf3qmuM06mur7sOvNuXly5V8RCn0/flH/+ATp3UfRcsUGdQ6t7H4VABmgULVNwEVJxl9mz1Om3bqvfVtq26tG8Po0ZBhw7B/94IIYQIrtGjR58o/unL3LlzTxo755xzWLNmTQvOKrQWLqx/YenLtm3q9+28eS0zp0gzc6aqqbFli1qIB5Il4A2I+Dr2rakmRH2ZKU05Drm5tY/phAmqvklrOZ7BEkjGUGO3sxlZhbOCtRvnYjm2hjYWK2acrKmCQbEQbwJK8tUWkpi0gJ7P7rLjcDtwepyYTCb2Fu9l3YF1JJiOQtIp0ONaOLoS4rLw7P0R914zphQTngoP5jZmnAVOtHgN3GDOlPoa/khgI0J4szWyslT9SyP4y1/UBVTQJT9fJU1s2wYHDqgAhtfevSowcPAgeA4eYjfxlJMIwBV8RMKLV8KwYbByJW+8AS+8oHGUW9HQmXN/JntOPNMA9u4dcKIUxgsvwH//63+O48ZVBza++KL+s0rTp1cHNnbsUIEQf2ru8SwoUDte/PnkEzUPUN1oliyBM89UZ8MibAu2EEKIKNbQ2fL6zJ+vTmjIglHx1tForlNPbV0ZMfVlZDQq8xffn+dFi9TlrrtUAKo18LYeDjTI5ktDmTLRFHzz1thYu2c5SbGpaPYiEs0m1rptzC2p4MYUDStOKN8VUGDDarZyZb8r+Xjbx6woWIHNbMPpcdI9pTuXJbbFWvIt9L0TzDb0zU/h3mECkxndrmNOMuMudKO7dPQinZg+MZjiZcOFPxLYiBDt26vGHUZdCKekqC0pNZuKAMd7M2u8+qrKOkmaeiWpS99i5e2v8FO/aygqAtveweivtEfLyACPh2HDTJSUwLqqB6ishGwX9NKrny42tvrpu3evDhBYLCdfx8dX3/eMM+APf1BZKFbryZeMjOr7Tpqknrvm7d7HaRr07Vt934kToXNnFdwpLFTv8+hR9e8DB2r/MvjwQ9VtBlTAZexY1Xb3kktqvy8hhBAi1Jpbx8FbIFM0nr+g0saNqobJ1Kmhn1M41Je54u0uE+hnrL6aD419rkhVN2OlqQEdf9+XaMyA8dbYqNrxOpv372KoDX6yezgtsx9jqlZh1XRVDyO+S0DP53Q7KXGUsKtoFw63A03TKHeWs+bAGlacMpa+lQuxLjkDkk+FXR/hSXsYj9uCFoeqrwFoJg0tRbV9xQUYdD0YbhLYiBA9esDf/x7uWTTgeBADgMOH4bLLYM8e2LGD+HhNBRlO6wxLYXhyPsOneR/XA2YdPPHYm25Sl0DccYe6BOKSS9QlEKedpi6BOOUUdQnEoEGq9unnn8ORI/D22+rSrp1K4737bvVvIYQQItT8daIIVGupA9GQvLzqRXXnzurESENny+sLKq1a1XoCG6AW3t98oy51BTN49skn0bUgr6u+1sNNed+TJ/vOgAmkdXGkyW6bzfDTbmHzvm/5oQpiTBrDy1eR7c2aP+V2iG0T0HN5AyVvbXiLNrY2dErpxDcF31DlqiInezLO3mOw5j8G5Tvh1D+hWW+An3R0h46W6I1sAE7QbJqs3ushuSyi+ebNg8GDVZEKr7Q0VSp9167av63vukulMsyYUT2maa2mQ8mkSfD66yqTIy9PBTI6dlRBjnnzwGYL9wyFEEK0RvV1oqhrypSTx0JZ/8vIcnNhxAj1Z86MGaol7nXXqbHcXP+PW7LE/23DhgV/nkaWl+c7qAGNC55FU82Hpnj4Yd/jTc3Mqq+VcTTKr6wkKeMcYjRI1HTyHcfXKok9YVDj9ux1S+1Gu/h26OjsOLYDs8mM1WxVBUR3rcN51rsw9hv0Ux9Cr7JADNUdUXQwJUtHlEBIYCNC7NqlaleUlYV5IgUFMGsWVFZWj5WVqd6vNQtNWCyqAtlPP0GvXtXj6em1i2+0Umaz2rbzz3+q7+1HH8Ezz6j2uqCSX155pXH92oUQQoimaExtjdzc2sXBvbZvb3jxHu0aOo6PPuq7M0d9HSdyclpXtgb4XyhPmNC4TIOFC+u/PZoDH3l5KpvCl6ZmVjWmlXGkq3BW0CWlCzkcJDY+k5y+19O526VUpA0Dtx20xi+hvQVE3bqbeGs8O47t4Ps931NcpbpD6LqOe7cb3aODAzSz2nriKfXgsXuwZFkwJ5klY6MeEtiIEFOnQnY2vP9+GCfh8aiCFn/5C3z6afX4xRerNISXXqp9/4svVvs5zObQzjPCWCzql/UVV1SPvf666nQ7eDB891345iaEECL6BXLG9YEHVCvYf/2r/vv7W7y3BoEcR1/38fe4qVPVMW9t/C2UG7PloaEgUzQVu/SlJbIofLUynjIl+o6jt3jo17uWse7YXkqclayrKOXr2P7MtbfD6a5s+EnqsJqtTBk4hZGdR2LWzKTaUnG5XbSLa8fFvS/G6XGCC9ylbtz73RADWqKGZlZZIqZYE2hg7iwdUeojgY0I4U2QCGlHlLIyeOut6q9NJpVPec451akFAF26qMIR3pYiotlsNlUwdsMG1S72kUdUXEkIIYQItkDPuHoXMA3dP1pT0xsSSJalr2Pn73jeeGPz5hOpfGVaNDYQUd9n8Npro7/TTH0/o835+Zw5s/ZWtPnz1XnMaApmWs1WxnQ7l9Q9b3OkqoihpiKO7HibtN2vMqZsGdZOARbsq2NSn0kcLDtImaOMSmclbt1NQXEB7+e/z9x1c3FqTrRYDb1cRy/TVQBDBzTQ7TpagoZmlaBGfSSwESFCHtjweFSPsSuvhDVrqsf/8Q9YtgwuuCBEE2mdLrsMNm1Sv3w9HrjnHrj0Ujh2LNwzE0IIEY0mTAj8vjk59d8/GlPTAxETU//t/hbnvs6ER3tGgT/+Mi0uu6xxz1PfZ3DBguhaiPvy1FP+b2vOz2dengpm1LRoUfRtQ8suX8dw5xaq0s9nQ/wANM3EcNd2sjudB0P/26TntJqtdE7tTI+0HqTGpRJjieFI5RFsZhujOo/CqlvR7TpYa9TX0MCUJPU1AiWBjQjR4oGNsjL44ovqr00mVQQiO1v1MfWS9KeQadtW/fJ44QXVCvajj1QBsW3bwj0zIYQQ0cJb7NK7H79mWaya6tYj8LctYNy41rkgB/8LxprbePyZOVPdZ9686vt6F5HRvgivKVgFKnNy1Mkhf+prBRvp6qvZ0tg6JXW1mm1oFXvIc1g5rFsZOehOMvveSr4D6HM7WBKa9JROt5MkaxLtEtpR7ihH13XsbjvrD6/ni51f4NSroGgNngMH0dwVKltDB0+FBy1Ww5RokvoaDZDARoQIWmCjvFylAmzaVD1WUABdu6r/7Q4erB5/8knVQP3cc5v5oqI5pk5VdTa6dVPF2TZsCPeMhBBCRANfZ8d9Bc99ZQ/4yjIAWLw4us7cNoa/LRQPPhjYYjInp7pmgTfgFEhHlWgSzAKVY8f6v23GjOg9pvUFH5rbmrWh74O/TiyRpMJZQVFCb2y6k0zHATqZPfyK7fSIMUNy32Y9d6otlW1Ht1HmKKNdQjvKHGWs3rea4spCPJ9di3vdt5jsK9CLVmNmLZ4yj2rx6gZzptTXaIgENiJE0AIbH3ygtpjULGneubPKzOjcWQU5vDp2VJUtRdgNGqTO4Lz+utqSIoQQQjRXQ2fBG8o0mDzZd8eOqDpzG6BgbaHw91yt5Zh6gzs1NXVbTkOL8Gg9pv5aBwej0Ke/gKbXokWRfUy9hUNnbf+BvWln4jm2jqVf/I43tixmY9Z1OGM7NPm5rWYrvxnwG3q37U2cJY44s1rUZSZlMiHOSeXuYvQOZ6N3mIQ5NQl3wVZ0uxNPkQdLFwumeFm2N0SOUIQIWmCjfXvVbjU+vnpM09Rphk2bWl+z9AiSnq5Knnjt2wdLl4ZvPkIIISKbvwWQV8+e/hdC3oyCOXN83x4NZ24bw9/7bUqhxmBtx4hEubm1azg0p9BnQ4twiL5jWt82lMzM4LyGd9vUwIG+b4/kY2o1WxnTYwyptlSOJJ7K0GEPcCR9AmkD72PMsLuxmq3Nev5uqd0od5RT5aqi1FGKx+Oh3F7C+2v+x8vFNqp270Y79gUkZIBHR7e7wAoel0fqawRAAhsR4o9/VJe2bRv5wJ9+Ur8ldF19fcEFUFioCjbU1LGjtGWNIIcOwejRqhK1vz7lQgghhD/1LYC8/J3xbqiVJkT+mdvGyMvz/7u4KVsogrkdI5L4+lw1t9CndxH+wAO+b4+2YxqqGhg5OfDcc75vi/Rjmt02m+FZwwHYULQfzXGM4WXfkl3wPFQebODR9atZQLRDYgfS4tI4WrQNm6uMkbEmYiwxuCsy0Q+uw+PujBYXg2bWMMVIfY1ASGAjQvzzn/Df/0KbNo14UHExnH+++p/sySdbbG4i9NLSYMAA1Vpu8uToLoIlhBAi+Bo6q1pfkcFAz8hG8pnbxvD3PkeObFrqf2vtktJSmSo5OarOSWs4pqFsxRzNn9P8I/l0TOrIOY5NZBZ9S37hdvjlRVgyAuxHm/y8TreTNrY2dEzuiMvtwqyZKXVUsNbRke9cR3GxE02rQHelosdmosWZsfa0ggfJ2AiABDaiWUqKyt8bOVJVnxJRw2qF116DK65QwY3LL4dvvw33rIQQQkSKhhZA9RUZDPSMbKSfuQ2Uv/f57bdNL1Dpq0tKtNu82fe4wxGc528Nx7Sh7TfB/pmcOVN177v5ZnUdLce0X4d+XJx1OocOfs3Fw+/h1NHzYfwaqDoI2+c2+XmtZis3DbkJj8eDR/dwSrtTqNI1dlc6GGT7DY644WgmE7puRreb0D266ogSLxkbgZDARgRwuWDHDjhwoAkPnjoVli9Xp/hFVLFa4ZVXVAu+ykp1du3nn8M9KyGEEJGgvgVQQ2ddA6ldEC1nbgORk6PqsvvSnPT/moU0o73ta26uyk72JSYmeK9Ts/NMtPIGcCZMqD3eEj+TubkwbZraljJtWnR0mqlwVtCnXR9KKw+yzQGlsR3p064PFdZ2YE0BR1Gznr9bajdMmgmH28GOYzswWWzYqeSdY5/x4pHXcbgcgAnc5WguF7pbx9xZOqIEQgIbEWDvXujRQ7X7DMiGDaqtq5fUzohaMTHw9tsqKaeoSLU227kz3LMSQggRCSZP9j0eSCePmTNP7l7h1ZyCj5EoLw82bvR/e3PS/73tXqO57WtDNVuCmWWQlxf9QSJQAYyPPmrZDJVo7N5zoivKd7NYenAbJVocS1f+nVmf3sjc98fhrDwAGec3+3XsLjsOtwO3x028OZGdeiWrPZsp0SohNhkAzbIfExvRS/Vmv15rIYGNCNCojii6rkK0aWnw3XctOi9hDPHx6pdX//6QnAxud7hnJIQQIhL4q88USEcT7wLRl+YWfIw0DQUumrownzLl5GMc6QtHX+o7fsHMrvB28vEGifwF5qJJS2aoBLMTkFHU6opSVczQAX/iiL2ctD1vM6ZqJdbhsyF9dLNfY8rAKYzsPBKzZiaZZFy6RhstifGWQThdpeiWXmCJxxz/C5auFjSrZGsEQgIbEaBRgY3CwuoOKKed1mJzEsaSlgaLF6tYVs+e4Z6NEEIIo8vNhRkzfN8WSEeThhYvkby4aaz6AhdNTf+vr2tNtB3b+o5fjx7BeQ1/HVekBF3TBLsTkJGc6IricbHh8Ea0toMZfvZzZP+mDLJ/H5TXmNRnEgfLDlLmKKPSXYkHnQJPCYv073lVX46jqgTdHge6HYtsQwmYBDYiQKMCG23bqr0IO3ZAYmJLTksYTFZW7a45GzZUx7iEEEIIr0DatTY3CyHSFzeNkZMDw4fXHsvKal76f31ZM9F2bHNy1JZaX378MTgZKv4+z61hW0pLiLbgWl35+74nbe9CJhZ/RObRr8hfcTN882vwBKc1ibftazdbN9pb2pNMMiVUEeuxkOPsj9VUislqRz90ALY8E5TXbA0ksBEBGhXYANA09RtVtFrPPKPawT7xRLhnIoQQwmgCWZQ0tHhuTvHRaJOXBytX1h7bu7d5z+fvbHi0Fr6cNcv3+HvvBae2SH2f52hcpLd0LZH6jqe/LW6RpMO+t0hwl3B6ahbTRs3g1PgE2P0ubP53UJ7f6XaSak0lk0wq3ZU4cODBwy+ew3zPNpzJPbCccQaWrma0Xc8H5TVbAwlsRIBGBzZEq1dZCR4P/OUv8MEH4Z6NEEIII2koaBFoYMLbfeGBB1QTtgceiN42mvXxtzBu6oLZ3+NGjlSFIKPRwoX1396StUWC1U7WKOrWEmmJgrM5OapIsC8zZkRukdsKZwVFVUUkVuzgiFsnP+taEvvexoC+N4A5Do4Ep36hxWTh6rSrcbgcON1OMkwZaGiU6JWMIAdbXDyaRcPSdjea5gnKa7YG0hE3AlRVqesGAxurV6v/xS67DP7xjxaflzCuO+6ArVvh2Wfh6qvh669h8OBwz0oIIYQReLMtam5HmTKlup7B+PGNe66aQRDvmeLevaMzs8CXJUt8jzd1y4i/hfYNNzTt+YwukK1RoAI+Tf1M1RdkCmY72XDz16lk8uTg/zzOn6+SxH0VEW6p12xJ3o4oB8oO4KqKpcQDS7d+xJflLjJ2v8mNcS6stg5BeS17pZ2vt3yN0+3Eoluo8FRQSSUllPO9Zzl9j+pYftoDsQtg8H1Bec3WQDI2IkC3bnDLLXDJJQ3c8bPPYNMmWL8+FNMSBqZp8OSTqv1rRYX67Bw4EO5ZCSGEMApvtoW3FWRmpjrTOmNG08/yhuJMsdH4K/LZnC0j/hba0bQArynQzJbm1Bap77HRVLMk2NlDDZk3T2VqhfI1W0qtjijWDIba4EjhBtK2PM4Y00Gs1kQ49W/Nfh1d12EXjHaPJsYVg8Vjoa/WFydOdFwMMffEZfoFvXwnpJ8Lp/rZ8ydOIoGNCDB0qKqZcOedDdzx5pvhnXfg9ttDMS1hcFYrvPkm9O2r9vpecUX0pVsKIYRoOm8rSPB9lrcxqf/+zhRHe2FGf4u3MWOa/pz+FtrRtACvKZD31dy6Lf5qwkRbPZhwfHb8ZXhF4uc1u202w60OKFzND1oGWmwbhtsgu31/uOgnSOzW7Ndw2924drjo5OlEjDsGN2526jsBHdD4JG4jr6ZUofdoj1a4DJCOKIGSwEY0SUtTeV/nnhvumQiDSElRhbdSUuCbb+DVV8M9IyGEEEaSlwcvveT7tsaccQ31mWKjaImFZM2AU00N1aGIVL6CDrm5tTOKglG3pWZNmGitB+Prs9PSBWf9ff8iNWCU/8ubJMVnENP5EhJ7/Y789MlQmg+2jGY/t8vlwv61Hc9RD9Y4K730XrSjHXHEkUAihzhMnC2OM9qeQVyPWDRPBXicQXhXrYPU2IgApaVgt6vurTZbuGcjIk3v3vDaa7B5M/z2t+GejRBCCKPIza2/tkFjFuetLcvAy1e9kuYu6nJzo6duQaBmzlTvbcuW2vVZgv1e69aEiTa+Pjvz56utZjNnttzr+vv+RZoKZwVdYhNISkxghSmGnI45pB08RkWJTnwzn9vtdlP1RRWu7S5MKSYcRxxUUEEb2lBEEToeDnOQn0u/om3KYQZvWog543wwR+ketBag6bquh3sSoVRSUkJKSgrFxcUkJyeHezoBeeABeOgh+MMf4Omn/dzpq6/gl19g1Kjo/ytCCCFEi4nE35ORLFzHOy9P1cHwJze38Wez6wZKmvIckSYvTy3mHA5VA6O5i7qGvi/z5vnO5hCioc/O999HbsAhFJxuJ/9b8z8O7FuOa9cb7IvpRMeE9liKfiQjYwQ3Tl6G1Wxt0nN7PB6qfqzCucqJjo7u0KECfqn6hRn6DHawg/aW9qx05dFfa8d/Mw/TPy2Z+NEfQbthQX6nkSfQ35OyFSUCBNTudd481WtN9hqIBpSUqMrqu3eHeyZCCCHCxd8WkZtvbnqKft2CpNEe1KhZLHXaNFW7vbkLx4a27si5K+FPQ5+daN8W1lwniod2GM6Rduep4qHF20nLOIsxo59vVlDDvsGOc4MT3ayjO3WoAuzQhS6YMOHQHOzy7MIEuDWdt0w9eL7QjnP5JKg6Esy3GdUksBEBvIGNerehDBgA558Pw4eHZE4ict14o9pPPXly9WdLCCFE6+KvmPSwYc0v0tjSe/qNoKWKpdYXuIjkugWi5TVUIF6CYg3LbpvN8KzhkNSTDe0uRut6FcNz/kF2+36Nfi5d13FVuaj6sQrH9w48xR40XQM3UOPvb7vJjtPkxKFVoQH7LJX8GJNFcfcboGo/7HkvWG8v6klgIwIElLHx5z+rdq8XXRSSOYnINXMmtG0Lq1erM3OtazOaEEIIaJmWonl5aj9/tHdCgZYrluqrEOOECfDCC9CvX+s4tqJp6vvZlaBY4PL3rSTt0GdMPDiHzD2vkr/pxUY93hvQqPy5kvKF5djz7HiqPOACz2EPFFff12qycpntMobGDwUdbJoHp8lD95TuXHbqlVhNFvDYg/wOo5cUD40AAQU2hAhQt26qDezYseoP0MGDpUOwEEK0NsEu9lm3vsZdd7VsscJwa8liqXULMS5cqLa6eEX7sfXWLYnkIpTh4O+z98ILard6KET8907X6bDzOfba93N6WiIDLMfYs+dF+LkrnHZ/vQ/1eDy4y904dzhx/OxAP6KDE7XadgA+4hOuJBelnlIKKgpwmlyYPA7K7Q7WbHmDFfvn0zfRjTWmTUu806gkGRsRoKpKXfsNbFRVgccTsvmIyHfeefD44+rfd94Jn38e3vkIIYQIrWC2aGypbRlG5uv4ATz1VPCe31sktDUd25p1S0aMUF+3hGjMLvLV6jU3NzRBjbw8uPji0HzvWkqFs4KiY5tILNvCEZebfHM6iTlPMyA+HtbPgOKNPh/n8XiwF9up+KyCstfLsH9hR9+nq0BGFVCKz6CG1l7DmmjlXPO5xFhiaJvcjuFdz8GCjsdRTE6sG2dCF/juOjj8XUu+9aghgY0I0GDGxuOPQ0oKPPhgqKYkosBtt6n2r243XHkl7NgR7hkJIYQIpWAV+2ypbRlGN3nyyWMLFqiFXbC0pmMbqgBZqIInoVa31eu114amgK/3eC5aVHs8kgJwTreTuevmMuuHF1laASUuJ0sTz2HW3t3MLbXg1IEDX9R6jK7rOCoclC8tp2J+Bc71TihH1c84XhwUf9u9k0F362hodE3tSmb7TExmEztKD2MCks3wfqmDufv34rRlwFZ/bTFFTWEPbMyePZvu3btjs9kYMmQIX3/9db33f+WVVxg4cCDx8fFkZmZy/fXXc/To0RDNNjzOP1/955Sd7ecOGzZAWRnEN7fDsmhNNA2efVYViouLg6KicM9ICCFEqHjPWEPzi336S4FfurTpzxkJ/AUXgpkJ0JJbXozC+1n83/983x7MIE60Zhf5el8LFrT8+/L1ujVFSgDuREeUxI4cic1SHVF2vU/azhcZY6vCigesiSfu73a7qfy5kopXKnCtd6lAhguoOH5dnyTADHhAd+kkDEigb7e+dIjvgA0nSSY4pMVjy76FUV3Owlq5DxxFLfXWo0pYAxtvvPEGt99+O/feey9r167lrLPOYvz48RQUFPi8/4oVK7juuuuYOnUqGzZs4K233mLVqlVMq7nxMAr95S/qP/wzz/Rzh5dfho0bpbG5aDSbDd59VxUSHTQo3LMRQggRCsE+Y52To07A1BVtqf511RdcCNaCztf2AlB1N6JBzc/inDm+7xPMIE60ZsCE631FU3viEx1RMsaywZOIVnWA4TFOsuPiISkbOqsULafTSeXSSuzf2tFLdVVDw42qo+Fu4EViUEENACtYelrQTtWocFXQNqEtLmcpOnDYUcGPe75hRWkJTt0DKf1b6m1HlbAGNmbNmsXUqVOZNm0affv25YknnqBz584888wzPu///fff061bN2677Ta6d+/OqFGjuPnmm1m9erXf17Db7ZSUlNS6RB2rFfr2hczMcM9ERKCsLMjIqP76iLTLFkKIqNVSZ6zHjvU9HukLxqYK1oKu7vYCr2jNMqgr2N08ojW7KFzvK9raE+cfyadjShcmXvAymZlnkW/pAt2vgzHfgDVZBTUWVuLc7ETTNBWosKOCGg11GYxFBTXcYG5rJnZkLHHnxmGLsXHTkJvweDx4sDAwFjyYOVT4Mzn2DWobTLdrWvidR4ewBTYcDgc//PADY+v8Jhw7dizffvutz8eMHDmSPXv28PHHH6PrOgcPHuTtt99mwoQJfl/nkUceISUl5cSlc+fOQX0foVBSouqDSltO0dJeeUV1TVm8ONwzEUII0RJa6sxua9gyUZe/YzZhQnAWdNGS5u9PQ/N/4IHg14iI1uyicL0vf+2Jm1OzJ5z6dejHtMHTyOlyDtMuepVTz3oWhv4HbO1xuVxULanCc8CDFquhV+rgwWdh0Fo0wAZYQUvWsPSzEDcpjrjT4jCbVfpGt9RuxJhjcMckscMTh+5xg8nG+yWVzI0diTOpTwu/8+gQtsDGkSNHcLvdpKen1xpPT0/nwIEDPh8zcuRIXnnlFa666ipiYmLIyMggNTWV//73v35f5+6776a4uPjEZffu3UF9H6HQr5+qgbBmjY8bly+He+6Bzz4L+bxE9Fm+HMrL4de/hq1bwz0bIYQQwdZSAYicHBg+vPZYv36Rd8a2Mfwds/vuC87zR1Oavy8NzX/8+JZ5XT/nTyM+UBSurKm6RYg/+ihyf+5HdBqBSTPxys+vYNJMjOg0AlA1Naq+qMK9243WTlMZGgDF9TyZCYgD2oKWqmHpbyH+1/EknJ+ANc6qMj6Os5qtnNL2FDrEp2NL60tSXBqFpkRsXX7FqFGzsVpiWuotR5WwFw+t+U0FVWG27pjXxo0bue2227j//vv54YcfWLx4MTt27OCWW27x+/yxsbEkJyfXukQab1cUm83HjZ9+Co88Am+/HdI5iej05JMwciQUF8Oll0JpabhnJIQQIpiC2ea1prw8WLmy9tiGDcHtEGI0/tprBmtRF21p/nXl5Kiz+74EK+ulrjlzYPt237dFeqBoyRLf46F4X96fhUj+TFY4KyiqKiL/SD7bCreRfySfoqoiyh3lODY6cO90gwn0Eh3dqqs2rnVZgHjABlqShrmbmfhr4km8OpGE8xOISY7BZDp5+e10Oyl3lqs6Gx4P5pg0yszJbNUTWLHnG5xuZ0u//agQtsBGu3btMJvNJ2VnHDp06KQsDq9HHnmEM888k7/+9a8MGDCACy+8kNmzZ/Piiy+yf//+UEw7LOpt93rmmXDzzf7DtEI0QmysipF17AibNqk/SD2ecM9KCCFESwrGVtdQdAgxmpZurxltaf6+XHZZ48aba9Uq3+Onnx7Zi/K8PNUFpa5IDzaEyol2r9/NYun2pZTYS1i6fSmzvpvFS6tfompXFbpFBxfoTh3qNuQ0A21RHU8sYO5mxnaNjYTLEohNicWSaPEZ0PCymq3cNOQmTJgwaSbO7HImDreDwspCxvQYg9VsbcF3Hz3CFtiIiYlhyJAhLK1T1Wbp0qWMHDnS52MqKipO+lB49ybpUVqAQtcbCGxcdJHq2emrmboQTZCZqTqlxMTAe+/Bww+He0ZCCCGCpaWKh4aiQ4iRhKq95syZ8MIL6hzWCy9Edpq/LzF+Muz9jTfXsGG+x//4x5Z5vVDx9zM2Zkxo5xGpTrR7taVypOIIQzsO5UjFEVJiUjjr2FmYj5kxJ5nVerPu9pM40NLU9hRzGzMxZ8UQf1k8tna2E+vUQGS3zWZUl1H0SOtBUVURsZZYerbpSfuE9lQ4K4L7hqNUWLeiTJ8+nRdeeIEXX3yRTZs2cccdd1BQUHBia8ndd9/NdTVyGCdOnMjChQt55pln2L59O9988w233XYbw4cPp2PHjuF6Gy3K4ag+k+IzsCFECxg+XMXLAB58EFasCOt0hBBCBIm/BVBzg9g5OTBunO/bZs9u3nMbUajaa+bmwrRp8Nxz6rq5rXmNJtRFZ6dOPbkWTE6OGo9krbF4b7CdaPcKbNi/CuyFDLL3p/ux7mg2DdcxFxyr86BUMGWaVFAj04xtko34QfFYLJZGv77T7SRvTx6Hyg+h6zqVznJ+3LmEWR//lrkr/y3bUQLQ+KMeRFdddRVHjx7loYceYv/+/fTv35+PP/6Yrl27ArB//34KCgpO3P93v/sdpaWlPPXUU/zlL38hNTWV8847j5kzZ4brLbQ4b7YG+AhsuN3qDnFx0IiIoBCBuP56WLsWkpLgjDPCPRshhBDB4G+hs2iRyjZoTjbANdf47qr1/fdqa+O8eU1/bqMJxULSX3bN5MnRk7Xh3W5T8322dP2QvDxVa2PVKpXBEelBDQjPcYxG+Ufy6Vi+iT7FK9hUZSF/l86wjF64StqooEaNDQJaigaxquaGuZcZ21gbVmvTt4xYzVbG9RrHT4d+YmPBZ2Q4DlB17AA2xwZGlS7BesoYaDe84SdqxTQ9Wvdw+FFSUkJKSgrFxcURUUh0/35V70DTVByjVl3VLVvglFMgOVlVexQiyHS9zmdOCBH1Iu33ZKQL9fHOy4MRI3zfNm/eycUwg/XcoAIc0bLQ8vdeg/ke58/3XXy1ud8nI8rLU3/W9u4dPZ+RcAjncYyG7+H3q/+J5ad7+daZwIjETMqPXsZgx7l44keowIa37lwKaAka2MGUZiJuUhzWuObVwXC6nfxvzf9Yuf0TVv/yEYdc0MECw2zqcmN6B6yXH2z2e4xEgf6eDHtXFFE/qxWuvhquvNLHArPe4htCNF/Nz1xVFfz97+paCCFEZKpvq0QwWr5ee23TXjvS+Nu6E8z32Jq2F0RDVw0jCNdxzM1Vgb7rrlPXkbhlqsJZQZ8Db1Hqga0x3TjmHkW2K40y134oclcHNWyoAqFJZrQUDetAKxZb8zdBWM1WRnUeRXHhehw6pFug0tqG4uT+jLKB1X4Ijqxs+IlaMQlsGFy7dvDqq/D66z5uHDAAystV+wohWtgVV8B996mUzdaV5yWEENHD36I4WIuh+fP919qIlgV5Xp7auuNLMN+jr64osvgPrry86O7cEwotVZA4lE50Rdm5nqWVGiVxvfjM0Y4nHat5zbEDJy7QACuggTnNjG7XiekfQ2yfWLQgpDc73U5W7F6Bw+PBaoIKD1Q4Siku3c2KKnDqQGkURYdbgAQ2IpmmQXw8pKWFeyaiFbjjDrBYVKDtoYfCPRshhBBN4W+xHMz6F598cvJWiWja7+8vK2PChOC/x5kzax/L+fOjbxtKuERDloERhKqQbks60RXFbOWwJ5bT9//C4cMrSXG1ZbRpNFYtVgU1TKAla+AEc5aZmP4x9bZxbcocbIldsejQL1YFOzyOYnJsxwMbSVESHW4hEtgwOLcbXK5wz0IIOP/86sr2Dz4Ir7wS1ukIIYRoopkzVS2IefOqr4Ot5nN//z3861/Bf41w8ZeVcd99wX8tb0ZBTQsWwPjxwX+t1iQasgyMIlq2TGW3zWZ4r4ngdrHBlYaGhSHaYHpaTgUzatVsBZPVhKmNidiRsY1q5xqIbqndiIlNwQ3scFXXKn2/HObSG2faoKC+XrSRwIbBff65qrMxeLCPG3/6Ce65B15+OeTzEq3TjTfCX/+q/n3DDfDNN+GdjxBCiKYJ1V78X35RGRzRtGD0lfXSUhkp/s56L17su7CoCEw0ZBkYRSh/HlpafpsLSG0/nIusp9FB78RWrQzMNrUNRQNiQUvS0Gxa0DI1arKarZyS3JEOZrCl9CEpvgOHtDhsGowyF2E9/FXQXzOaSGDD4Lz1QWNifNz488/wyCMqdC9EiPzrXzBpEjgc6lr+CBBCCFGXN81/xgx1ibZU/7pZLy2VkVLfWW+pDdF00ZJlYBTen4cHHlC12Gy2yPxstk9MJy7ufPp3+jNT2vyVU7QB1TeawBRnAitYOlnQrMFvG+h0Oyk3xdE21oarbCe64xiHqyr5sQpWVFlwfjFOCojWQwIbBldv45PeveHPf1arSyFCxGRSsbShQ8HjgaKicM9ICCGEkfhK8wdJ9W+K1tRpJpSiKcvAKJ5+WgUx58yJvGBmhbOCoqoiEkwJHC48TH5pPomVifQz96u+kwlMSSZMcSYs3S1BKRhal9Vs5aZht+JpeyYe3c1AqxM0OJTQm5wx7+CMy4Kd8xt+olaq+b1pRIuqN7AxbJi6CBFiCQmqIvyRI3DqqeGejRBCiEDk5amFcO/eLbuAq2+x/ckn0bF4zM2tHby56y511rolzJ+vft8uXnzybdGQYRCqz2VdM2fC5Mnhee1oM36878/no4+qY2zkY+vtiHKg7ADO4p2Ulv/CMnsFX7u/oIOWxXVx12H1WDElHs/W6GLBFNNyuQHdUrsRE9ced0IP9pTmE2drgy25B+9v+Yi8wgpu7OjC2mKvHtkkY8Pg6g1sCBFGHTrUDmqsWwdlZWGbjhBCiHrU7QDRkp01omGxXZ9wFJ785BPo16/2WE6OsReMgQh3Z5JQ1ZqJZlOm+A5qeBk9q+hER5Ty7Rza8jmD3TpHXQdIcccy2jIcq8kKcaBZNUwxLZetUXM+p3U4jayUriTb0khwFXLsyDrS9r7JGEsh1h71pHC1chLYMLh6AxsuF+i6jxuECK0VK+Css+Dii6G8PNyzEUIIUZOvhfiCBS1XfHLhQv+3RUM3j3AUnszLgw0bTh6L5K090pkk8uXlNVzqLxICndmpXRl68CN0TwbryQASGWzqQ093krqDBlqCBlZaNKjhNbLLSK4dcC2J7YfhNCdidhTS1+Iha/Sb0P7MFn/9SCWBDYOrN7Bx332q4IG3TYUQYWK1gqbBV1/BJZdUf26FEEKEn78Fd0sUn/RXXwOip4ZBOApPRmMXj4cf9j0eyvfkbacrwZSmaeh7FTE/8yUb2VJVQce4toxPuJp0cy+26TvQtGI0i4bJ1rJFQ2tyup1sPLyRNze8yaHKY2hxmThTB/C03pe5hw7idDtb9PUjmQQ2DK5XL3UW/PTTfdzoXT1aZaeVCK+cHJWGmJgIX3yhghuSuSGEEMZQ34I72ItIf8/3wAMt1zkk1MJReDLaunjk5alaXb6E6j2FextMsIUjSOPve3XaaS3bLSjYdC2WUxjAb7X2DNPTmWKZRB9zWzRLLFqyhjnN3KJFQ2uymq2M6jyKrIT2JFXsJLNiK7bC1XSy72RU1hlYzbLu80cCGwb361/Dhx/Crbf6uPGRR+DAgcj/n1hEhZEj4eOPVWHRzz6DMWPg2LFwz0oIIUR9nTWCvYj093zRsAWlplC1e/WKti4e/gJgEyaE5j1F2zaYcAVpfH0up0yBn36KrM+mHtebIbbfoztO5Y1jL2NxFTDc3Bc9picA5o5mrD2sLVo01MvpdrJi9wqqDi6jsPIIe8xt2E4ihUfXs2L1DMnYqIcENiJZXBykp0NKSrhnIgSg6mx89hmkpsJ338Ho0aqSuxBCiPCaP//kgqEtUTQx2hbg/oSjk0eogyktyV8A7L77QvP6/gIr/rbHGFm4gzR1P5fz5oXmdYOp0l1FcVYP8t0x/OIpZat2kKLkzlSYXGgelaFh6dLy2RpQXcy0tLQAT2x7+mWdiUOHQ7qFnGNLcW6b0+JziFTS7tXgdF3VLhAiUowYAcuXw9ix0KWLxN2EEMIovAuO+fOrrzMzg9+mtG4bTe9rRUtLzVC2eq0rGjqhGIG/wMqiRSogEEnHuL76K6F6H5H8uXS6ncz9ejp7f/4Ku3MoZXoly1zfsKJsFR1sp/M70++wlIZ2ydwttRsxZitul4M9h9YS5yrDZrHwfjnkff57btR0rL1/H9I5RQLJ2DC4a64Bmw2efdbHja+8orajrF8f8nkJUZ/TTlMZG2++WV0CRhr4CCFEeHn34NfUUmd2vW00Fy6MvjoG4d7CMGcO3HKLuo5U4S6GmpOjtr2Ecw7B8uqrvscdjtDOI1JZzVYuOPwRKVoyRywVDNT6cFQ7SKojnvPi+hKbGos5y9ziRUPrzum0LueT5SkiuWovCWaNYy4Xab2uY0yvcVi3+VoYCglsGFxFBdjtYDb7uPHFF+Gee9RGNiEMplu36m4+ug7TpqkUT7c7rNMSQoh6zZ49m+7du2Oz2RgyZAhff/213/suW7YMTdNOumzevDmEMw5cqBeTRggCBJsRFuTTpsFzz6nrSD1LboRiqJdd5ns8kgICeXmqeLsvMTGhnUuk0p3ldK8cwCDtHDRXBfnm7WialUEMocfRJMwpRVh7WEOyDaWmkYPv5NrBN5No1vBoZjzJp9C3+6VkJWaAR+ps+CKBDYOrt93rhAlwww2QnR3SOQnRWJ9+quJw998PF16oat4KIYTRvPHGG9x+++3ce++9rF27lrPOOovx48dTUFBQ7+Py8/PZv3//iUu2QX8vL1nie7ylFpPhDgK0hHAuyOfMgZUra4+tXBmZmRvhrsWSm6sCQ75MmxY5mUX1/SxFaseckNNtuN3t2WIvJ5VELkrKIVOLZZu2DU0rRT90MORTOtHy9dBeimOzaK+5OFp+gMc/vYm56+bi7HR5yOcUCSSwYXD1BjamT1e/zYYNC+mchGisceNg7lyIj4fPP4eBA+Htt2V7ihDCWGbNmsXUqVOZNm0affv25YknnqBz584888wz9T6uQ4cOZGRknLiYfaZZhldeHixYcPJ4SxQQ9TLCWflgW7jw5LFQLchXrWrcuNGFqxiqr0yiuiIls8jfz1JL/lxHHasJU69JtNcSiMfGQLuZ38aMpm/iYNDKMGW6Q7oNBaoLiHZO7kx6+jAGZQ4GZwnJzoPk9P0tzr53NfwkrZAENgyu3sCGEBHkt7+F1atV/Y1Dh+BXv1JpoHv3hntmQggBDoeDH374gbFjx9YaHzt2LN9++229jx00aBCZmZmcf/75fPnll/Xe1263U1JSUusSCv7O7I4Z03KvGe6z8sHmb0Hsb0tDsPk7jxXJ57e8tVhC+ZkINGMoEjKLfP2MjRsXmZ1JwqW8opxjiSNJbHsqR7Vytur7SLC24zTXUUxJZojvB67Qz6tbajdsVhvbj+3gyzIHpdZ2aB0n8j5dmPvTfGn76oMENgxOAhsimvTtq84s3X+/Kir6/vtwxRXhnpUQQsCRI0dwu92kp6fXGk9PT+eAn/1zmZmZPP/887zzzjssXLiQU045hfPPP5/ly5f7fZ1HHnmElJSUE5fOnTsH9X34E67siWhqURrurTW+XicnB6ZODc3rR4tAP/ORklk0c2btVs6LF0fOVppwc7gcvPTVS/znl//whX09pbFxfG4u5L+V37CAveinj8acHBOWPqJWs5XkmGRSY1OxWW3EW+LZWrgVm9nGqM6jsJqtoZ+UwUlgw+DqDWxkZUFiImzcGNI5CdEcsbEwYwasWQNnnAH/93/Vt5WWQnFx+OYWSrquigMfPgzHjlWPezyq0dHGjbB5M2zdqjJcXGE4WyBEa1S3QJyu636Lxp1yyinceOONDB48mDPOOIPZs2czYcIEHnvsMb/Pf/fdd1NcXHzisnv37qDO3x9fWyhCdaY8HGflW0I4t9b4yxa58caWf+1o4yvLoa5I+ryGsttRoLxzMvp2Hqtu5dzkc0muTOaofpTBSYMptECqrQfnZV6J1ZqAubM55IVDQdXZKHeW0zahLS63C7PJTJmjjK2FW1mxe4VkbPgggQ2DGzkSRo+Gtm193FhaCuXlUvZYRKT+/eGbb+Cii6rH/vtf6NQJbr8dNmwI29SaxeWCPXtg377qscOH4dpr4dxzVa3fpCTV6SghATp0gL/+tfq+lZVqu06/firDpXdvSE9XGS6pqSefmXv2WVi0CHbvlpolQjRHu3btMJvNJ2VnHDp06KQsjvqMGDGCrVu3+r09NjaW5OTkWpeW5m9RPH9+y57ZjZTFTaD8LYh9BY2CzV9WSCQVujQSbybRzTf7vr0lt2gFW7gzierKzY2gFs8WyG6bzRDTEHDCZvtmNDSGxA6hJz3RErSQ19fwspqt3DTkJkyYMGkmzuxyJg63g8LKQsb0GCMZGz5IYMPgFiyAL7/00/gkPx9++QW6dg35vIQIBk1TF68vv4SyMvjPf1Tg4/TT1R/jGzYYY9Fes1VtSYlKqf7Tn2DyZBg+XCVRxcZC586qta1XTAy88gosWwbbtqn3WPP91Gwtp+vQvr0KZrZpAzXXPMXF4KwRoK+shN//Hi6+GLp0UfcfMwYefBCWLlUZIUKIwMTExDBkyBCWLl1aa3zp0qWMHDky4OdZu3YtmZmZwZ5es9S3wGmpM7sRtbhphMmTTx4Lxdnx+rJCwn12PlLl5MD11/u+LVK2oYCxivRGXItnF+h2na2urWRqmYxPHk+GNYNt5m1o8Rp6lR6W+hpe2W2zGdVlFD3SelBUVUSsJZaebXrSPqE9FU75I6+uMOwYEkFjsD+chGiuJUvU5emn4ZNP4Mcf1SU3F4YMUcVHvUpLVeZDMNnt8NlnqqDpnj21r/fuhSuvhOeeq77/3Xf7fh6zuXobGajgxOOPqx/ZrCx1nZysusTEx6v7eyUmqq0nNbndarvK0aMqcOJVXq6KsG7apLatFBWp+X/2mbr9iivgrbeadUiEaFWmT5/OlClTGDp0KGeccQbPP/88BQUF3HLLLYDaRrJ3717mHa/M98QTT9CtWzf69euHw+FgwYIFvPPOO7zzzjvhfBsnaWiBs2VLcNPu/S1uJk+OnPR+f/73P9/jn3zSsu/Nmy3ir5tHsL+HInL4+myEq0hvfdkjhvx8WgAznOI8hfMSzyM+Lp7+tv7sKd2DFqthSjSFdbXsLN1F3k9Pc6iikOS4DlQ6K/jxwI/M+m4WGYkZ3Dj4RsncqEECG0IIw9A0uPBCdTl6VLWEXbgQli+HU0+tvp/brTIakpKgRw8VKGjXTo3FxMCgQdVFSd1ulVlRWqqyLLzXJSVqi8iFF6qgA6hsiIsv9j+/mh1ckpNVCnD79ipY0amTus7KUttLagYrNE11Z24qs1m9v3btao+3awdvvqn+bberuhzff6+2+CxfDjWbO+zerc6cXnMN/PrXwQ8KCRENrrrqKo4ePcpDDz3E/v376d+/Px9//DFdj2dG7t+/n4KCghP3dzgc3Hnnnezdu5e4uDj69evHokWLuKjmHrsIEOwzuxG3uAlQbi7MmRO+1585U32vpk07+bZIyjAwkmj4rOblqSzXF15QfwP17h2+uRspeyQQngoP7t1uctrnsLdkL2873+Zi+8UMTx0ObjBnhqe+BgBVh7B+PopxWhE/xaeysWgDnS1tqXJXSQFRPzRdN0KCd+iUlJSQkpJCcXFxSPa1Nkd5uVogxcVBQYE6s3tCWZk6rR0fr3LhhYhiVVVqG4Z3m/vu3WrrhT/XXltdSKuqqv6uQhdfDB9+WP31mWeqAIk3SFEzaNGpU+2tIUam6yqoYzkevn7ssepaHklJKsjxxz9Cnz7hm6Mwpkj6PRkNQnG8589XP/O+5OYGv1NJXp7aflLX999HzmKxLn/vySuU7y039+Sz85HcbSac+vXzXYM/Uj6rdT8Ld92lAmDhFCmfT13Xcf7ipHhzMZVHKlmvreeDkg+YYJrAAMsAkocnk3p6avgCGxv+hXP9w/yv0z2sPLyVH3d9TmnpHpLa9OX0jjkMyxrWajI2Av09KRkbBlZZqfbIV1SAzVbnxsJC+NvfVF66BDZElLPZav8MdO6sMi927IDt29XWjcOH1Y+F0wlDh1bfV9PU2a2kJHVJTq7+d/v20K1b7df65puQvKUWp2nVQQ1QWRoejzqjs3WriovOnq0yW/7v/2DAgPDNVQjRsvydLX3hhZZpFeorNX7KlOqz45GwYKyrvjolEyaE9j3NnKm29WzZEt6z85FuzhzfQY3x4yPjmBp1y9fkydUnlAx9LF3gKHGw4NACDlQdwI2bUk8py1zLWKGtIGtHFrf0vYUYW5iaNDhLsMakMeaUX/HVvvtwaTFkWKDY7aDSVSkFRH2QwIaBeffox8SAqW6Z19hY+O1va1deFKIVSUxU3UNOO63++8XG+t8T3Zp06qQWGnfeCV98oTrQfPCBqsHx4Yeqi0taWrhnKYRoCf724LdEUMOr5uL71VdV1og3k84IZ5Ubq75U+vvuC908vHJyDLxgjBCrVvkery8j1EiMuI2mbrbGL78Y93OqWTXi+8Vz/u5z+WjrfLY6fmCwKYP1rKVP/CjO73w+1tgwBg4yLoCNj5C15V+MiI/lqOsgB7HQJiGDnE45ZCVnhW9uBiVdUQzMG9g4KVsDVE7+3Lnw0kuhnJIQIsKZTHDBBfD++/DTT6og6rRptYMaNbu/CCEiX16eOoM6dSo88IBKsw9FanhOjioIvXhx7XFDd0nww1+r13AVaYwGc+bAZZep30Hh+DwMG9a4caMxWj0LXxkkCxb43wZnBJqniuzD8xnqsQAONmvrMZkOMsy5lV7WjmHtiELGeTiHPMXcdS/zxcb52J3lpNrS2FOyj4+3fMzcdXNxup0NP08rIhkbBuYNbNRXH0AIIZrqtNPgjTfUFhWvH3+Eq66CZ56Bc88N39yEEMFR9wwqqL8vQrEYz8tTCxtfIqk4o5c3C+WTT9TXhk6zN7j+/VUrd685c0KfyTN1Kjz/PKxcWT2Wk9OymUzBZKRuKOA/g2T+fLj1VmP+rOhr7kGvSGYbW8mymRlm7shqx362OrZzlms7WAaHdX7WxG6Mifew3pxFrB5LR/tODjrsJMcOIicrB6fHKdtRapDAhoFJYEMIEQo1t7o98ADk58N558Ef/qD+YEpICN/chBBN5+sMKoRuH359dSmM2iWhIbIFpPnGj68d1PAKR32IvDwVVFm1SmVqREpQw8tXsC1c6vuZNmIgU3fquHZaMVl3058jXNyjA9bCTPqXprDXXYS5ozt8hUO9ts+lW4ch2Exns33XMrbr6Xgc+0mwxvF+/vvk7c1rNQVEAyFbUQys3sDG4sWQmgrjxoVySkKIKDdvHtxyi/r37NnqD5HNm8M7JyFE09QXWPAuhFqSv4XOlCnGW+SI0MjLO3lrUk31fWZbytSp8OyzkRfU8Fq4EGbMUJcRI1TWRjjk5KiudL4YMpBpAS0xEZOphLParsJS/jVvlc/HrJVzRoIZLT282RpeVrOZdvHtaB/fnmSrjRhgy9EtpNnSpIBoHRLYMLCEBBg1CoYM8XFjebnqf1leHvJ5CSGiV3Ky2oaydClkZKizasOGweuvh3tmQojGCvdiwlddiilTVABVNE9enkrxj7RaJQ0F1ML9mY00/jqjhOtzMX+++hmvyah1aDRNw3LBNJxxiyn2FJNfepht9hK2x66grM0uKj2OcE8RevwWjq5kZOGHXJvoIbFyJ56YZMxmK33b9TVeAVFnKexeCDtfh8oDIX95CWwY2PDh8PXX1VXEaxk3TuWLv/xyyOclhIh+F1wAa9fC6NFQVgZXXw0ffRTuWQkhGqO+M6ihSlmfOVMVK503r/paNE9urjozf9114T1DH2xGXQAb2cMP+x4PR+aLV2Zm7a91PTzzCITL1oGXE0cxqwiWOlMoiWnPZ+Wl/NuZZYzinFkX4xwxj41Fe3hz57cUx2TQqcMQ3G43T6962hhz9KrcD4uHwNeXw7dXw6J+UPhDSKcggY1IlZCgwto9eoR7JkKIKJWRoTI37rpLLYJk55sQkccIZ1BzcqrnEIlZBkZitDP0jeUvoPbCC6Hp1BNN8vJg0SLftxmpM4qRP59Ws5UxZz9JatY4jrh1hsboHEkZSlrniwyzzcPaYwpjJn5Bjz7T6Jw1mnO7n4/T4yQ9Md0wcwRgbS64ymDCJrjsACT2gLybQjoFCWwIIYTwy2JRZ1w/+ED9G1QXlaqq8M5LCBG4mtkSoWr1Wle0ZBmEewuIvzPx4TxD3xi+tifl5kZufYtw8vc9nzDBeJ1RjPz5zG53CsOH3gtdr2JDxhVobQYzPCuH7LbZ4Z7aCdlts5l4ykSsJit5e/Mod5YzMH0g7RPaU+GsCPf0lNKtkDEWUvpAXDp0vQpKQ/uNl8CGgT3/PKSnqxZJJ1m1SlX2W7Ei5PMSQrQ+NYMaf/gDXHSRlPgRIpJ4sybCseCJtLO4/hghOOPvTHwk1aaouz1JMjWaZskS3+P33RfaedTk73O4dGlo59FY+Ufy6ZjUkYmnTCQzKZP8o/nhnlItTreTuWvnsrNoJ7quU2ov5b3N7zHru1nG2Y6S3Bv2fwpFG6BiH+x8DZJPCekUJLBhYEVFcOiQ2t9+kkWLVMTj1VdDPS0hRCu2fbv6b+fLL+HiiyW4IYRoWCSexa0rWoIzIjrk5cGCBSePh7vjkL+6PkbfgtavQz8u73s5F2VfxLTB0zi1/anhnlI1Xcd6YAnjbHZykpLQPW46p3Smyl2FzWxjVOdRxtiOcvpMsCbDx/3hvSyo2AXD/xfSKUhgw8C8AY2kJB839u0Ll18OgwaFdE5CiNatVy91lig5GZYtg0svBYcBCocLIYzL3/8RkZRlYJQijdEQJDJC5kuk8/f9HjMmtPPwZexY3+NG/ox2SenClzu/ZF/pPjold2JEpxHhnlK1NdNxLruYkl3vcqhgEXv3fs6RskNUOCrYWriVFbtXGCNjw5oEp9wG3a6DAX+HizZAm9CuUyWwYWAlJeo6OdnHjVddBW+/DTfeGNI5CSHEiBEquJGYCJ9/Dtdfr7aoCCFEXbm5MG2a7/FI6YBhpCKNkb4VxciZL+Gun9IYRv4cRNJ2lApnBUVVReQfyWdb4Tbyj+RTVFVknLoVResh/wmssWmMSUuj0toWl9tBhusALo+TSlelMQqIOophyRnww22wZyH8dB/s/TDk05DAhoHVG9gQQogwysmBd95RtTdefRXuvjvcMxJCGI2vRSxEXgcMIxVp9Fd8M1KCREbNOIm0LBIjfw4iZTuK0+1k7rq5zPpuFku3L6XEXsLS7UuNVbeiYre6dpaQNX4FI4bcQ7oFih2VpMfEkdMph6zkrPDOESD/CSjbAeN/hF8VQ88bYPUfwVUZ0mlIYMPAJLAhhDCysWNhzhz17//3/2Dt2vDORwjhW7jORPtbrMbEhHYezeXvDHS4ijTWLL75wgvQr5+xFoz1MWKmgZGzSOpj5CKskbAdxWq2MqbHGFJtqRypOMLQjkM5UnGENFuaMbIgAFL6gWbCqevM/XEeX/z8HHYd0i1Q5izji+1fGCMIU14AyX0gtT9oJug0GTx2sB8J6TQksGFg9QY2rr8eOnWCV14J6ZyEEKKm666DWbNUmraU/BHCeMJ5JjqSUtLrY8Sz4zk5sH692uYTKVkGYMxjadQskkjmr66O0WpyZbfNZnjWcAA2HNqAhsbwrOHGafWa0AVO+ztWPIzZ8U96VG6hc6yNc5MTcZpspCemGyMIkzYIjq2F7fPg4HLYNBNi20NcRkinIYENA+vRAwYOhAxfn4lDh2DvXuP9DyGEaHXuuAPGjw/3LIQQdYX7THSkpKQHwmhnx8P9vW0Oox1LI2aRBMIb0DJiYMtfVpYRs7WM3uqV/nfDiHlkJ3VgYgJYLbHkxQ2m3FnJwPSBtE9oH/6aINm3QPp58P1v4fNz4NBy6HIVmEIbcLGE9NVEozz7bD03Pv00FBZC584hm48QQjRk+3Z47DH4z3/AaoAsTiFas/rORIfqDPnYsb7bUn7yiTHqATRGTo5x5myE721zGOlYerNIagaKwp1F0pApU07+uXr0UZg82RjzXrLE97gRg0X9OvTjwl4X0im5EwPSB7CnZE+4p3SyHlNwdv01c9/7HbtL9pBsTabUvo33Nr/H4YrDZCRmcOPgG8OXueFxQvEGSD4Vul0N5btg61PQ6RLIDF2rHglsRKpu3dRFCCEMwuGAc8+FggJo29Z/e0QhRGgY4Uy0v9eaMQMqK9XZe9F4RvjeRpOZM1VQYMsWdQyNEBzwJy/Pd7AQjBHY8je/KVPCPzdfarZ27ZTciU7JncI4G/+sZivjeo3np0M/sfHwRjqndKbKXYXNbGNU51Hh3Y5ydBVU7gNXBexYAINnwf7FcPDLkAY2ZCuKEEKIoIiJqT7j9c9/qhRjIUTr5qumglekbJ0wopwctVCsyehZBl5GbavqPaZGP4b11f4wQmDL3/zGhG59G5WcZXso2fg4hzY+zd49X3CsbC8lVSVsLdzKit0rwldA1FUByyepf3scUJoPX02AqiMQkxbSqUhgw6A8HujYUf0HdfSojzu88YbanHj4cMjnJoQQ/lx1FfzmN+r/sClToKws3DMSovUySlHEyZP93yYFGpsmN1cFB7yuvTb8tSoCEWltVY3IX/DCKEEZySZqAR431hWTGMNuKuO7YNJM5Hj2UFR5mMLKwvAWEN31JjiPQXJfcFdCYk81rqHavoaQBDYMqrwc9u+HrVshPt7HHf76V/jtb2HnzlBPTQgh6vXUU6pp07Zt8Je/hHs2QrReRllgGP0Mc6CMkmngq3DoggXhn1dDjF7w1Cjf34b4yoIaN06d7zQCI3a+aYjhv/clm6DwB7LPWcCoAX+gR6fRFHksxOsuerbpGd4Coo5Cdd3jBhg2G9IGqq9TToPYtiGdSpMCG7t372bPnurCKitXruT222/n+eefb/RzzZ49m+7du2Oz2RgyZAhff/11vfe32+3ce++9dO3aldjYWHr27MmLL77Y6Nc1Om+rV4sFbDYfdzjvPFWRq21oPzBCCNGQ1FR4+WX17+efh88/D+t0hGi1jLLAMPoZ5kAYKdPAKJk4jeWv7pIR5m2k728gZs6svRVp8WJjzdlonW/qExHfe00t2Z1r7ibv2+kcKliETXNhdZeRf2Qzs76bxdx1c8OzHSX9XHX94z1w6Gs4/K36uue0kE+lSYGNa665hi+//BKAAwcOMGbMGFauXMk999zDQw89FPDzvPHGG9x+++3ce++9rF27lrPOOovx48dTUFDg9zFXXnkln3/+OXPmzCE/P5/XXnuNPn36NOVtGJo3sJGcDJrm4w5z58Knn6qesEIIYTDnnQe33qr+/Z//hHcuQrRmRlhg+AqwTJlinDPMDTFapoHD0bhxI8jLg0WLfN8W7qwdo31/A+HNMKjJaHOOhJolEfO9d9sBDWvJOi6Nc3FOHFiBriY7ruItpNnSwrcdpc0gGPYM4IFdr0LVIeh9G2TfFPKpNKkryvr16xk+fDgAb775Jv379+ebb75hyZIl3HLLLdx///0BPc+sWbOYOnUq06apiM4TTzzBp59+yjPPPMMjjzxy0v0XL17MV199xfbt22nTpg0A3RroDGK327Hb7Se+LvFGDAzOO82kpPDOQwghmuof/1DNm/70p3DPRIjWzQitNSOp60Rdn3zifzwc7yMmpnHjRuAvK2PChPB/FiKxdW4kztmI6ssiMtRxXP0nQAdgQiIkVsIaOxSQRDdnIX3b9SUrOSs8c7MfhR3zQHerr9sMg/73hWUqTcrYcDqdxMbGAvDZZ59xySWXANCnTx/2798f0HM4HA5++OEHxo4dW2t87NixfPvttz4f88EHHzB06FAeffRRsrKy6N27N3feeSeVlZV+X+eRRx4hJSXlxKVz584BzS/camZsCCFEJEpJgTvvhOO/LoQQYWCkveORcAY3Ehildkpj+JvbfeFZ/9Tib25Ll4Z2Ho0RiZ8BozFyFlEtugeO5oE1FafJxtwSmF0ExR5IN7s57HLz9Kqnw7cV5Yc/Q+kWOPsDOOdDKN8GP9wW+nnQxMBGv379ePbZZ/n6669ZunQp48aNA2Dfvn20DbDmw5EjR3C73aSnp9caT09P58CBAz4fs337dlasWMH69et59913eeKJJ3j77be51Zvv7MPdd99NcXHxicvu3bsDfJeB+93vYNgw2LAheM9Zb2CjtFSdBu3TB2pkowghhFE5nfD666Dr4Z6JEK2Hd8+4kfaOGynQEqhffvE9Pn58aOfh5W9rj5EDRkap9+JLTo7qKlOXkT+nRj6ekcLIWUS1eBygu8BZhNVjZ0w89LBCZwuca63AacsgPTE9fFtRjnwP3X8HnSZC1sXQ43oViAmDJgU2Zs6cyXPPPcfo0aO5+uqrGThQVT/94IMPTmxRCZRWp4CErusnjXl5PB40TeOVV15h+PDhXHTRRcyaNYu5c+f6zdqIjY0lOTm51iXYfvwRVq+GekqDNJrNBgMGQHa2jxsrKmDXLsjPN3beoRBCoFq/nnkmXH21/7MjQojgmjLFeHvwI6JIXx15earjSF3hDiTULR45f37tr43ICPVe/KmTQH6CEQqb+mPk4xkJjJxFVIvZBu1HgWYGUwzZsVYmJoDVEkee3YRdszIwfWD4OqPEZcDhFeCqAFclHFoBtozQz4Mm1tgYPXo0R44coaSkhLS0tBPjN910E/E+e5OerF27dpjN5pOyMw4dOnRSFodXZmYmWVlZpKSknBjr27cvuq6zZ88esn1GAVpexvHvnZ9EkyaZMEFdfEpLU79pq6r8VBYVQgjjMJlg9GhYtUqdYRo3TnV8EkK0DH+LcQjf3nF/RfomTzbY2dE6/C1sx4wJ7Tzq8lU8csEC9WehkYuyGqHeiy+RurXDqMczEnizXmr+v2TYrJczX4dF/cFZhFOHuXpvdutHSLeoHIXF2xZzuOIwGYkZ3Dj4xtBmbpw+Ez6/ABamq+CLxwHnLgnd69fQpIyNyspK7Hb7iaDGrl27eOKJJ8jPz6dDhw4BPUdMTAxDhgxhaZ0NbEuXLmXkyJE+H3PmmWeyb98+ysrKToxt2bIFk8lEp06dmvJWgiIzU10HWF6k+WJiYPhwOPvsEL2gEEI0zz33QJs2sGkTRGGHbiEMpb6zzOFaqEVqi1KjLnj9HTcjb58wskjb2hFpW7qMOt/Jk+GBB9TF0Fkv8Vlw3mdgTsBqa8+l1qOcYyrE2nYwXVO64tJd4euMcmwdeOzgKgNnMWRNgvZnhnYOxzUpsHHppZcy73g4uKioiJycHB5//HEmTZrEM888E/DzTJ8+nRdeeIEXX3yRTZs2cccdd1BQUMAtt9wCqPoY11133Yn7X3PNNbRt25brr7+ejRs3snz5cv76179yww03EBcX15S3EhQtkbEhhBDRJDUVvA2z7r8fasSnhRBBtsTPybJwbp/w14r01VdDO4/G8hY8rckIC976AitGDxYZdZHr3drhXehedlm4Z+RbpG3pqjtfo2yZ8s5rxgx1Wbgw3DNqQNshMG419JzGhH6/4YyRj1FsTqaguIAYU0x4OqOU7VCFQnv/ESYfhqFPQ8FrsH9xaOdxXJMCG2vWrOGss84C4O233yY9PZ1du3Yxb948nnzyyYCf56qrruKJJ57goYce4vTTT2f58uV8/PHHdO3aFYD9+/dTUKNwRWJiIkuXLqWoqIihQ4fym9/8hokTJzbqNVuCN7ARzIyNv/0NTjkF/vc/HzcePKj+EjByuWYhhKjj97+Hnj3Vf2GPPRbu2QgRnerbhuLNMA0HfyXBFi823gK3ptzc2ls+rr3WGGd1/RW8hPBnk9TH6IvyhQurF7pGnJ+/LV1G/RnyNd8FC9T3P5wi7TiekNIH52kzmKudwuwtyyiuKqZNXBuKqorC0xmlZIvq2tJnOtjaQe8/gCUBijeGbg41NCmwUVFRQVJSEgBLlixh8uTJmEwmRowYwa5duxr1XH/4wx/YuXMndrudH374gbNrbK+YO3cuy5Ytq3X/Pn36sHTpUioqKti9ezePP/54WLM1oPoPhWBmbBQUqIh7ebmPG9evh9/8Bu64I3gvKIQQLSwmBv75T/Xvf/8bjh0L73yEiEb1na0P5x/ukZhh4G9RZpTFj6+CoUbIJvHH6ItJo88PIm9Ll1G3TEXacazJarYypscYeqT1oG18WzokdKBtfFt6tukZ+q0oid3V9fYXweOGna+DqxwSe4ZuDjU0KbDRq1cv3nvvPXbv3s2nn37K2OOlhA8dOtQiXUeMriUyNupt95qcDOefr0LJQggRQa64Ak47DYYOhcLCcM9GiOjjb8uHV7j+cI/EDINPPmnceDh4O2JEQmcMoy8mp0/3PW6k77dRa774Y9SApr95RUoyfFZyFuN6jcPlcbH5yGbcHjfjeo4L/VaU5N4w4GFY/zC8boFvr4auV0OnS0I7j+OaVJf+/vvv55prruGOO+7gvPPO44wzzgBU9sagQYOCOsFI0BIZG/UGNoYNg88+C96LCSFEiJhMsHy5qrkhhAi+hrrAh3MBNH++6tpRc2uHkTMMIkWkdMbYvNn3uBEW5Xl58O234Z5Fw3x18gh36+GGjBzp+9iG8/vur57G/Plw663GPp5Ot5O56+byydZPKK4qJj0xncPlh3l61dNsL9oe+q4o/f8PMi6Aop8gvitkjg1b184mBTauuOIKRo0axf79+xk4cOCJ8fPPP5/LjFpppwV5MzbKy6G0FI7v0mmWegMbQggRwSSoIUTLqW+xYIQgwrx5auGwZYuaa7jnU5/x41WtBV/jonFycmDlypPHjfCZhPqzB4z2/Z45U2WJewOE8+erk6wzZ4Z3XnXl5p68tafmbeH6vvvaclRTuFpiB8q7FSX/SD6HKw7Tr30/Fm5aSHpieni6ogC0G6EuYdakrSgAGRkZDBo0iH379rF3714Ahg8fTp8+fYI2uUiRmKguELysDQlsCCGi3eHDcN991f/fCSGaz1fbygkTjLVNwdtpxMiLB4i8FqBGNWeO76DGPfcY5zNZX0DQaN0yvF1lajJaLRB/wQMjtFVtaAuMETKI6lWxj2z3QSZ2HYnVZCVvbx7lznIGpg+kfUJ7KpwV4Z5h2DQpsOHxeHjooYdISUmha9eudOnShdTUVB5++GE8Hk+w5xgRgl1no97AxssvQ//+cO+9wXkxIYQIg3Hj4O9/h0Z0CRdCBMDbttJbd+Gjj4y1GDdqu09fIqEFaF4ePPiguhjxmK5a5Xv86NHQzqM+voJYXkYLGhi9Vgn4n0vPnuH/v8joWW312jIb3u+Cc+lZzF38a3bu/xZd1ym1l/Le5veY9d2s0HdGMZAmBTbuvfdennrqKf71r3+xdu1a1qxZwz//+U/++9//ct999wV7jhEh2HU2uneHbt0gJcXHjfv3w4YNwa1WKoQQIfanP6nrJ59suOChEKJxjJoVYfR2n74YuQWo93gadX6gSsM1ZjxcZs5UwStfjBQ0iIQCokYuzhkJWW0+Ff0Mq/8I2b/HOuFnxnU/nxzHNnRnMZ1TOlPlrsJmtjGq86jQbUexF8KKK+GdDvBRH9j1Zmhe1w9N13W9sQ/q2LEjzz77LJdcUrvi6fvvv88f/vCHE1tTjKikpISUlBSKi4uD2sHlyivhrbfgiSfgz38O2tP6VlAA27ZBhw4qc0MIISKQ3Q5du8LBg6qF4m9+E+4ZCWi535PCt9Z0vPPyfDd0+/574wVgvIw8Z39zA2PMr6a6NTb69YP168M3H3+M/P2uafx4WLy4+uvcXOMtyqdMUb/b6zLKsczLi4xaPyfsmA/fXQdXluPUrPxv1VOs/HY6P1q6UKHZiDHHMLTjUIZlDQtNAVFdhy/Oh2M/wim3wbG1sOcDOO8zyDgvqC8V6O/JJmVsFBYW+qyl0adPHwpbaf++luiM4leXLnDeeRLUEEJEtNhY+OMf1b///W/1O1IIEb0iIYW+LiPPub45GGF+NdUNGGzYYLzMElAL3OHDTx4z0sI3J6d2UOPUU40X1AC17cQXf211Qy0nRwU1tmwx1lYjv+I6quu9H6kCovE6lR4wmWLJ6ZRDUVURhZWFoSsgaj8MB7+EblPAcQzajYSE7lDwVsu/th9NCmwMHDiQp5566qTxp556igEDBjR7UpEo2DU2hBCiNbjlFrDZ4IcfYMWKcM9GCNGSIiGFvi4jz7m+LXxGmF9N48erM/U1Ga12Baj51C10mpdnnHn6KsS6caMajxTffmuM4xlx2+LSz4MuV8E3V8FbKWSv/wujEmPpEQNFlYXEx8TTs03P0BUQ9Z6M2vIfyP8PrMuF8h1QdbDlX9uPJgU2Hn30UV588UVOPfVUpk6dyrRp0zj11FOZO3cujz32WLDnGBGCmbHx88/Qp4/a7+XTqlXwwQewY0fzX0wIIcKoXTuVrgoqa0MIEb187W03Yh0QL2+quvf/KC+jFBiMifE9PmGCMebnNWVK7QyDmoyWWWLkDB3wX4jV33g41dcmN9zH01fXFiMG2mrRNDjzVeibC84SnEl9yfO049CxrdhKN2I1Wck/kh+6AqJ7P6j+d9pgiGkL6HDk25Z93Xo0KbBxzjnnsGXLFi677DKKioooLCxk8uTJbNiwgZdeeinYc4wIwczYOHoU8vNh+3Y/d3jiCbj0Unj33ea/mBBChNntt0NcnPp/tJU21hKi1Zg5s3agYP58Y54prXk2d/581cXJ22XGKGn//rIyjFTHPy/Pd50FL6Nllhg5QwcipxArqODatdf6vi3cx9PoASy/NBMUrgZTHNbSzVxq2ss5cWAt20HXlC64dBdptrSW346i67DlSe+k4NgaFXgBlbHhqmy5165HkwIboAqI/uMf/+Cdd95h4cKF/P3vf+fYsWO8/PLLwZxfxAhmxka9rV5BbVobPhw6dWr+iwkhRJideqr6v3P2bDA1+beSEKImo7ZU9c6rJqOdKfV1NnfxYtXRwUiZEL4yYIySTeJV30LRiNk6Rj+mvo5nTg5MnRr6uQRi/vyTM55AdRoKJ6MHsPwq2arqWngqIbEnE1ITOCMxnmIPFBzdTIwphr7t+pKVnNWy8zi0XHVpATDHwal/A/sRQIO4TLDEtezr+yF/QgZJpvUIqRzj8GFwuZr3XA0GNh56SP3WvfLK5r2QEEIYRJQ3gxAipOruHfe1sAiXSDhT6m8uRgwUzZypskiMlk3i5W+h6M2AMSKjHlNfATeA//wn9HNpjFtvPXks3MHMSCgS69OuV8GkMjGc8d2Y6+7O7KMVFHugjVmjqKqIp1c93fJbUSoK1HXWxeCugI3Hf0g0M5wRvh9sCWwEw6ZNtJ+Yw1tciVl3cuhQ856utFRdyx/6QojWZs0aY+4VFiJS+Fr8LFigghxGEAlnSuuby8MPh24egcrJMWb2A/ivq/LJJ+GZT6CMeEwjISjoixHnbfQisX7pHpUhAVhLNjLGtJ8eVmhrgg7x7Wgb35aebXq2/FaU1AGABom9YcRcSBuixs9+HzIuaLnXbYAENoLB4UA7eJBe5u1kcKDZdTYazNgQQogo9PTTMGQI/O1v4Z6JEJErkrINjKq+2gCLFslxbKy6GRBGzdQwOn9dcOrrjmMERgxmGjHYEpDOl4OrHGyZULWPLHch4xLAFduGzZXluD1uxvUc1/JbUdIGwuDHIf/f8P3vVI2NQY9D1kUt+7oNsDTmzpMnT6739qKioubMJXINHAiLFjH1tn7s+alds+tsNBjYuPJKKCiAp56CoUOb92JCCGEQF18Mf/oTfPEFbN0K2dnhnpEQkae+xcKWLeE/A13fgiLcc6tp/nzVfO6bb06+zWhzFa2Dvy44/saNwpu1UzOTLNx1S4wYbAlI2gA49xNYcydOdwVzS2P4RG9PcUIq6dY4Dpcf5ulVT7O9aDs3Dr6xZbM2+twBnS6F0l8gqSck9mi51wpQozI2UlJS6r107dqV64yS6xhq55yDrVM74HhnlINN7+GbkABdukB6up87rFunThdUhqfirBBCtISuXavbw73wQnjnIkSkqq8onxH+aI+kBcXjj/seN+JcjaxuzRcjdsGpy4jFd5cs8T0eCZ9Ho9UtMXqR2HplnA8XrcX6qyLGXPoNPTpfQOfUrpzb7VycHifpiektvxXFK7EHZI4xRFADQNN1XQ/3JEKppKSElJQUiouLSQ7WXo9Zs2DFCh5x/IV7Fp3Jyzd8xXVvTFC/EW++OTivUdPy5XDsGJx1FrRpE/znF0KIMHn/fZg0Cdq3hz17jH8mKhq1yO9J4Vcwj3denlo4+pKbG/7FBPif4/ffG3NRkZt78plmIxzHSBFp3284+Xt+111qYR5O/o7jlCmRtbUnL09lPPXubYzvv9Hm0xSfbf+M+T/O51jVMbYf287NQ25mysApxJhjiLfGt+yL7/sECt4CUwz0uhHaDGmRlwn092SjtqIIP776Cj74gH7jxgBnkr52MZSXwwcfwI03Br9/4dlnB/f5hBDCICZMUO2z9++Hjz9WQQ4hRGD8bfN44AF48MGQTsWvSNmK4jV5MsQd71w4frwx52hkkfb99lV899FH1ecgnPP1dxzHjAntPJrDiAGjiOiEUg+n28nctXPZXbKb9ESV6r9422IOVxwmIzGjZbejbJkNq2+FuE6gmWD7S3De59BhVMu8XgCkeGgwdOsGQCfnDgCe7/ZP+N//4J13gh/UEEKIKGaxwG9+o/4dSWehhDACfynp3i1eRhBJW1G8WyhmzFCX+rb5CN8i6fsNxi0qGWnHsS5/AaNwbfUx4lajgHncsPkJWD4J66qbubTLEM7pdg5Wk5WuKV1x6S7SbGktux2lfDf88Gf178o94ChS21E2/BP+P3t3HhdV2TZw/DfAsK+yqygqqLjvuJVW4m6alj1mGq9LbmVWmlmaW2n6tNhmmZqYVlqPZotpaoWVCy5pmSJu4IoLLiD7MHPePw6DDMzAALMx3F8/8wHOnDnnnsPgzLnOdV8XcDP7pnn2Ww5x1m0KDRoAEJSdAkDqVQWMGweurvfWWb0aY/vADh8uRw/379dz58GD8PXXkJJStTELgiDYqFGj5K+HD9t+tXdBsCXVYd54dRgj2N6JWHVVXX7fWrYaQKhux7EkWwoYVceaLzoOPwt/vQAF2XDtNwacm0sX//qk56VzIf0Czg7ORAVEmbczytGXQVJD0xfh0Vvg0wxyroLqDlfuXuGLY19w5e4V8+3fABHYMIXwcNQ44HMnBaB0V5SvvpIDHe3a3Wt5UoZ//pF7K6tUeu6Mi4PHH4dPPqnqqAVBEGxSq1YQHw9nz4oaG4JQVbZYSc3WCgnqY0snYsZISJCnG82bZ3vBl+rw+9bSF0AYNco2AgjV6TiWZCsBo2ofsMy/A6c/hrZL4cEdqHofJC4dlu95g/TcdII9g4s6o8QdjUOl1ncyaQKZ58C9njz95NJ34BpEdt4d7tTqTlJaEmdunSEpLYk7uXfIVmWbZwx6iBobphAezlOs5dxp+a/z8mX5g4RCUXh/mzbQtCk8/HAZPVzvKbPda3i4/L9re/MUZxEEQbAFPXpYewSCUP3Yan0AfWx9brutnIgZo2TtgvnzbaN+QXG2/vsubskSuc7TunXyz+vWybWfbOF4VqfjWFx0tBwg0h5TsE7GiaHA5MKF8OOPlh1LpRRkyV8Lu5AoXf2J8Q8hKcOZG95hNA9szubEzebvjOITBXdPg1cE7P8/VBLEZXtwNV1JRtp3ZORlsPPcTn5L+c38tT6KERkbJlBQN5wfGci+gk6AnDrdpIn8B7tvH2iaRMGhQ/D66/celJoqTyvRQxvY8PLSc+eMGXKY9rHHTPwsBEEQbI9aDdmWC/YLQrVW3bIMbJn2RKw4W0z91xfMgmp2FdrGaOsvFCeOZ9XMnKl7TJ980joZJ4YCk1u3VpPfr1so+LaWp6KcXQ0HJxOZd5pBzR5D6aAk4XICeeo8Wge3JtAj0HzZEm3elMdy8wAAStcgYmI2oHBw4sDlA0TWiiQtO838tT5KEIENE3AK8OWYd3c+ZAo+jpkAnD4t/yfYtWth0S4PD1AW+6VOmyZP7Hr/fZ1tqdVyQxUwKrlDEATBbsXFQf36tnGVTBCqg+qUZWDrbOVErDxlBa1EQKtyRIDQtPQF39avt04gITpa7r6mT7X4/SocoMd34FYbEsZB8lpUQb2IO76FlFuncHWS6ztuP7Odd/a9Y77pKK5B0OcA9NwG939Hdp/DBIZ2x9/Nn4y8DBIuJ5CvzqdVcCsi/SNNv38DRGDDRMIaKpnCckbV2w3IKYD/+Y8cnOjW7d56d+/Ck4+ruJKmRFIo4L77dLZz9+6970tlbGg0Zhq9IAiC7VEq5al969fbZp0AQbA11b3AoK2wpROx8pQVtBIBrcoRAULTsrVA0Zw5+pdXm9+vR33ovRc6rQJ1LsqMfxmsOUGP/GMoNfmW64zi5Aa1+6IK7Udc4ve8s+8dtp/djpODE65OriTfTmbN0TXmq/OhhwhsmEphy9dmHikANGwo1wy9cQOef/7eatu3wxdfK6nz63p61TnJst1tyc0tvPOTT1Bt3IySfFxcwMWlxD7eew9CQmynGb0gCIIZDRkC7u5w7pw8m08QhPJV5wKDtsLWTsTKoi+YpV0uAlqVIwKEpmVrgSK7+P1KEhyZDuFPwCOXGTA8kS7uzqSn/WW5ziiFlI5KYhrG4Ovqi9JRSf+I/vi6+tIzvCeDmwy22DQUEIEN0ykMbEQ6pQBw8aK82NlZN/OidWt49lk5k+PXCxE8/7xcV/R/63KQXn6ZwInDeDToD8LC9Ozj+HG4dk1cuhQEoUbw8ICBA+Xvv/7aumMRao7ly5fToEEDXF1dad++PX/88UeZ6+/evZv27dvj6upKw4YN+cQGupZp60NUqw/qNsTWTsTKM3Ro6WUJCbaZYVJdLFkCq1bBhAnyVxEgrDxbDCRU+wCwJg9UdyCkFyqNmrik7SzPcCI9P8tynVGKifSPpFOdTng6e/L7hd/JVmXTu1FvHmtu2ZqQIrBhKg0aAFC3IBmACxf0r9a4sVxW4/JluWNr3bpw/jyMG53Hes9J0KULX6Y+wOnThQ8oHsRYtkx+l4qNNdvTEARBsCWPPy5//fprEdMVzG/jxo1MmzaNV199lSNHjnDffffRr18/Lhh4U09OTqZ///7cd999HDlyhFdeeYWpU6eyadMmC49cMKXqUjhUqzplmFQXM2fCuHGwYoX8deZMa48IVq+GiRPlr9WNNpAwd658e+QR644nIUH++2jc2Hb/rsvk6Aq+rSDxvyhvJhCjzKShJo0wn7o8EP4AKo3K/J1RislWZXMk9QhOCidqudXCUeHIX1f/smirVwCFJNWsj4oZGRn4+PiQnp6Otymrc37/PQwezM0G7QlIPkTPnvDbb+U/LDsb3n5bjhS2aFEiuq5SyZVHX3yxsAKpIAhCzZKTA0FBkJkpd5nq3NnaI7J/ZnufrAaio6Np164dH3/8cdGyqKgohgwZwuLFi0utP3PmTL7//nsSExOLlk2cOJG///6bffv2GbXPmny8wTZPMEq2T33yydJdMmxJQoL+/xv377edY1qd2OLxjI6GAwfu/dypU/XLyCn5d2WtlsS2Mo4qu/Qj7BslZ24Auzy6s04dzu28dM7dPseE9hMY1XoUzo7OuCvdTbzvH+DYa5B3C1Xg/ax0aMOh68dRoEAtqfF09iRblU2H2h1M0urV2PdJkbFhKs2awZNPkt57OHBvKkp53N3lIjbaAnk6PvsMfvlFfkctXlVUEAShhnBzg4cflr8X01EEc8rPz+fw4cP07t1bZ3nv3r3Zu3ev3sfs27ev1Pp9+vTh0KFDqFT603/z8vLIyMjQudVUM2fKJ5CjR8tfS2ZJWEN1KhyqZYup/tWZrWXArF6tG9QA+efqlLmh7+/KGi10bWUcVXb9T9gzHFCAkzcqhTNxme6kpF8wf2eU63/CH0PANRjqPYby8vfE3N5CmHcYiWmJRNaKJF+dT8uglhZt9QoisGE6ERGwbh2KmfI7y6VLFUub9vWFyJLdcMaMgUcfhc2b4cwZWLwYdu822ZAFQRCqg9hYuTbRiBHWHolgz9LS0lCr1QQHB+ssDw4O5urVq3ofc/XqVb3rFxQUkJaWpvcxixcvxsfHp+gWpreolv0zFEAYPdo649GytZPayrKlfOyEBDnjpbqcPBqqpZKfb9lxaB08qH/5Bx9YdhxVYSt/V9u2VWy5zTo6E3xbwyOXYWgqylptGexwnh7hPVA6KM3bGeX8V+BWB3Kuwcm3yVYXEHjzT/yVzlZt9QoisGFydeqAQgF5eXJHlCpRKuGbb6BHD9ixA155RS7MIQiCUIPExMi1iTp2tPZIhJpAoVDo/CxJUqll5a2vb7nWrFmzSE9PL7pdNDbF084YOqGx9glwdSscCrZ9FbpkVo4t1Kooj6FOM9aqtWHove/vv23jd2yM6vh3ZdNyr0JQd7nlqpM7BHZjgFs+Xep2IT0v3bydUSQJcq5A/i1Ubd4iLj+Id+7A9pPfAlit1SuIwIZpqVQ4XzpHsyD5Ko2hAqKV0rw5jBwJvXqZcKOCIAiCIAAEBATg6OhYKjvj+vXrpbIytEJCQvSu7+TkhL+/v97HuLi44O3trXOrico6obFmdkR1nNZhK1fDS7LlgEt5tF1RSrLG+MeOBR8f/fdZ+3dsLH1/V9bo3GSoZGG1K2Xo3wnOxcHln+DyVlTn4ojL9Wf5weWk56ZTy60Wd3LvmKczSu51kNSQfQHl0ZeI4TK+jo6o829Sz6ceSgelVVq9gghsmNaIEdCoEbEuXwHG19kwysCBco7m2LEm3KggCEL1oFbLJYdmzbKtFGvBfjg7O9O+fXt27typs3znzp107dpV72O6dOlSav0dO3bQoUMHlErLfqCrbqKj5RJi+lj7Km51awVpq1fDq3vav7Oz/uWWDiYkJEB6uv77rP07roglS3Tr6KxbZ/kMmM2bSy+z9cClXu0/AM+GsHsA7B6I0iuSmB4f0dCvIf7u/gR5BOHv7k+jWo1MOxXlWjxcKuz65V4flF7UcVQR5eKI0tGFi+kXSc9Lp0tYFwY0HmCafVaACGyYUng4uLgQ6pUJmDiwIQiCUIOpVDB4sHyCceiQtUcj2KsXXniBVatW8dlnn5GYmMjzzz/PhQsXmDhxIiBPIxldrAjExIkTOX/+PC+88AKJiYl89tlnrF69munTp1vrKVQr69bZbltVbctXWxhLeapjlkl1YCsBI0OBlAEDqtfvWFtrpThLZsDoyyAC67eerRTXAIjZC/3/hQHHIWYPdQJa0DeiLwWaAk6mnUStUdO3UV/TTkW59Rc4uELYo5BzGZVPK+IyYPltNemOPvi5+ZGel87yg8tNnyliBCeL7s3evf46LF3K4ekOcFwENgRBEEzF1VVOFf3f/+Dbb0W9DcE8Hn/8cW7evMmCBQtITU2lRYsW/PTTT9SvXx+A1NRULhSbZ9qgQQN++uknnn/+eT766CNq167N+++/z7Bhw6z1FKqVhAS5hk6PHvLVcVtq+VrdLFkCQ4faVuvcfv1g/nz9y6sDbcCo+MmwNQJGhgIpc+ZYdhxVVdaUKUscU2vv3+QcHMG3OQAqVS5xR1az7cwO0nPTCfYM5kbWDT46+BHn7pwzSctVANzrgiYXGv4f1GqLMuUrYtwhKWggFwoUODo4otaoqedTz+IdUUAENkzLVW6voy1wLgIbgiAIpvPII3JgY8sWWLTI2qMR7NXkyZOZPHmy3vvi4uJKLevRowd//fWXmUdlf2bO1D1hfOkl22j3Wp1pT860J3DWPlmzlcBAVdhCwMgejiNYPwNmxw7r7t8s8jPgr2koU74gJk9FUkFDbni3pXlwGzYnbibYM9i0AYawoRDaF3YPBJdakHeTOs0m07fWQD468BFnbp2hvm99+kX2M33RUiOIwIYZaAMbJi0eKgiCUMMNGCA3i0pMhKQkaNLE2iMSBKEyDBWVHDq0+p2s2RJ9waIlS6w3HrCNwIA9sIfjaM0ATUKCXKqwpOoy3UyvMyvh4CS5kKejG5HNxjLo2BrW3daQUJBHliqL1sGtCfQIJFuVjbvSver7dHCCHj/A+Q2QdR6VdzPirl5h24HlpGWnEewZXDQV5dxtE2aKGEkENkypoAD+8x/6Hk/Bl51cvOhn7REJgiDYDR8feOAB+arLli3Vo22gIAilVYeU8NWr4eBBedpbdajbbsvBouho64+hskaP1q0L8eSTpetEWEp1Po5aS5bIgRlL/20Z+j8nJsYy+ze5tANwYAK4BoJ3FDi4oDq3jjhNAy6mn8bbszl38+6y5eQWbmTfIMQzxHRBBgcnaCBXflYCMR6nOZz6F1fuXuGB8Ac4fuM4ge6BVpmKIoqHmpKTE+zdi+fJw0RymitX5FiHIAiCYBraIl/ffmvdcQiCUHnWTkkvT3Q0jBsHK1bIX6vDyaSttnytzkaNKh3EWL9eDnYIlTNzpu7flqUuUNj6/zkVlrYHHF3BtzVo8qHD+yjVmfT1cCTa3RUJiTCfMHLVubg6utI9rLtZggzZqmwCPQJpHdyaPHUeCZcTcHZ05uEmDxPpH2ny/ZVHBDZMrfAvpJnjKTQaSE218ngEQRDsyODB8terVyEry7pjEQShcqKjoVOn0stsIYCwejUcOKC77MABebkts7sTNyszNHUB5GCHpTp52BNDWUWWOJZ21znIuRaoc+WaFzcT4NfeqCTIuP0v172acznjMrdzbpORm8HpW6f58+KfJu9QolKriDsaxzv73mH72e0AuDq5knw7mTVH11i8IwqIwIbpFb6DtPOUQ+SigKggCILphIbKNTaSk8HDw9qjEQShMhISSgcPEhJs42Tx4MGKLbcV+k7cbKF+gLbFpy38biuivEwXkQlTcYaO2cKFltn/kiWwfz/MnSvfqmWbV616w8GvLfz1Ang0gOwLKN3rENPtbXLc6uOgcCC6bjR3cu9wK+eWWaaFKB2VxDSMwdfVt6gTitJBSc/wngxuMtji01BABDZMrzCw0UKZBIgCooIgCKbWtCkoFNYehSAIlWXL0yYMtZKuDi2mlyzR7Syzbp11axHNnAmdO8tTNzp3rl51kcrLdBGZMBVn6Jht3Wq5wNdHH8ktiOfPr36vSR1ObtBrN7SYAyG9oONyGHyeyNYv0L1edxr6NeRO7h3cnd1pVKtRUQFRkyjIgYOT4btw6uwZTFTBZZSOSi6mXyQ9L50uYV0Y0HiAafZVQSKwYWqFZfobqkXGhiAIgjkVFEB+vrVHIQhCRRk6wTl71vpX9seO1T9NproUEC1ZE8JSqf76xmKtaQemoG+6lFa1nsJgRdHRcnczfSwR1NRXM6U6vSZLUXpC81nQ6ROInAQOjqjUKhIuJXA96zquTq4oHZQkpSXxzr53iDsaZ5rpIQeehnNxqOoMIS7LmeUJ75B255RORxST7auCRGDD1ArfrWtnngIkEdgQBEEwg7lzITgYvvnG2iMRBKGi9E2bANu5ipqQAKtWwYQJ8tf9+607HmPZUibMiy/qX24LWTnG0DddCuTXw5tvWn4s1XE6jz5z5uhfbu4MmLJqplSX16QxlI5KBjcdTI/wHigdlNT3qU+BVICfq59ppqNoCuD8V9BqAcoOy4iJ+Zog90BUOTd4IPwBwrzDaODbwCodUUAENkyvQQNwdMRZlU1trojAhiAIghkUFMCtW3LbV0EQqp/i891LsoWrqGPHwiefVI9MDS1bKSA6ahTs2WMbY6ksQye7zs6WHUd1ns6jj7WKeJZVx6O6vCaNNaDxALrU7UJ6XjoX0i/g7OBMVEAUdbzrmGDrCvmmUZGdn0WgRwCt3VzJ06it3hEFRGDD9JydoWFDAJqQJGpsCIIgmIG26Ne2bZCTY92xCIJQOdHR0KiR/vvs6SqqpdhC54eyroyDXOOgOjA0zdGS0x+r+3QeQ4YOvVfAc/9+82fAJCTIdTz0sYUCu6ak7VSy/OBy0nPTqeVWizu5d/jo4Ecmmh6iAe/GqI6+QtwqL96JC2d72kVwrmX1jigATlbZq71r3BhOn6Yxp9h04UFrj0YQBMHutG8PdevCpUvwyy8wcKC1RyQIQmUYOlG0t6uoljJ0KLi5yd/362f5k7byAlLr1sGUKbZ/MmkoM8OSGRtldRH58UfLjcOUZs7UDdbk5Jj/tWDoOHbtCp9/bt59W8Tds3J3lJzLKH2aE1PvaZLSkjiffh6lgxKVRkW4b7hppof8MwcyTqEM7EqM4iQ/3L6F2iWQev7NijqitAhqYZVpKCAyNsyj8N24MadIS4PMTCuPRxAEwc4oFDBkiPz9t99adSiCIFTSzJkwbpz+5bZ+4muLtNMWtF0fNm+2/BiMCUhVh2wcW5jWYwtdREzJWhkoho7jO++Yd78WcWU7/NgYLn8Ptw7Dxc3UORRL3wY9KNAUcDLtJDmqHPo26muaqSgXNoFHfdCoqNNgCFH1YlBqskm+nWz1jihgA4GN5cuX06BBA1xdXWnfvj1//PGHUY/bs2cPTk5OtGnTxrwDrAxty1cnueVrSooVxyIIgmCntNNRvv8e1GrrjkUQhIrRd5ID1inOaA9sZdqCocKwxVWHbBxbmNZj7S4iplZWBoo52cLv0ixUmfDnYyBpoOl0aPoCKlUmcZfPsHzvItJz0/F19eXMrTO8ve/tqk9FybkGmecg8yyqmweJO/IZy5N2cUOlQSNpuJF9w6odUcDKgY2NGzcybdo0Xn31VY4cOcJ9991Hv379uFBOYYr09HRGjx7NQw89ZKGRVlBhy9emjvJfsAhsCIIgmN7994OfH6SlGS5UJwiCbTJ0kiOKrleOLXVEKV4YtmVL3fuq0wml9nl8/rllakHoY60uIuZgzQwUW/hdmlz6CSgonBZw8i04uwqliz8x7hDmVotgz2DahrbF0cERbxdvoutEo9JUIeBweCqgAUAZ1J3uXh7UcZTwdPEhxDMET6Untb1q071e95o5FeWdd95h7NixjBs3jqioKJYtW0ZYWBgff/xxmY+bMGECTzzxBF26dLHQSCuoRQuYNYstLV8DRGBDEATBHJyc4Nln5Q9+9epZezSCIFSEoZOc+fOt3/mhOrbXNHQ8T5607Di0Nm+Wf5fHjsk/DxhQPU8oo6OtW2DSnrIN7C0DxequFFZEdXAGnxbg5AX5Nwl3dcPVuyHnbp/jzwt/otFo8FB68F3Sd1XLpsgqTDxo9x4qR0/+LPAmV4JrBRJXM69yK/cWeQV5/Hnhz5qXsZGfn8/hw4fp3bu3zvLevXuzd+9eg49bs2YNZ8+eZa6+/mB65OXlkZGRoXMzu8BAWLSI8/ePAkRgQxAEwVzmz4cFCyA83NojEQShIsqasmDNzg/atprVrb2moeO5aJHlT4L1TYsx1JVCKJ89ZRtYKwPF3trmApB9EVxDQJMvZ2/kXAZA6eBIgIOGQPdAvF28cXZ05tTNU/i5+lWtgKh/4X8k51ahrPswMc453FJDuiQRXTcaBxzIUeWYpkhpJVktsJGWloZarSY4OFhneXBwMFevXtX7mNOnT/Pyyy/zxRdf4ORkXEOXxYsX4+PjU3QLCwur8tiNpf2gnZxssV0KgiAIgiBUC0OHGr7P3PPu9Rk1Ss7UKK46tdc0dDwPHIDVqy03DluaFmMPEhLkY9e4cfXM1CjOGhkotlJ/xuQ86oMqA0J6o50iAoA6j65Xv+LJ5o/i6eyJpvBfVEBU1QqItnkDfFrBnWNkH5hMoOYOEaGdcXf25U7uHRr6NaRbvW5E+kdW+alVltWLhyoUCp2fJUkqtQxArVbzxBNPMH/+fBpXIKw3a9Ys0tPTi24XLTV588YN2qf/Siv+FhkbgiAIZpSdDVu2WKcDgCAIlVfWia6lOz8kJMD69frvqy4n5GWN8+BBy43DFjqK2At7zDQoXoNl7tx7hcDNxVCQtLr8XRvU9HnwbgxXdxQuUEC791E5+3MiJ5Ovj60jPTedQPdAbmbfrHoBUScP6HcYVc+dxAXE8k7w85xU+KF0VOLq5Mr1rOskXE6w2jQUsGJgIyAgAEdHx1LZGdevXy+VxQFw9+5dDh06xDPPPIOTkxNOTk4sWLCAv//+GycnJ3799Ve9+3FxccHb21vnZhEffkjXOQ8xhY9EYEMQBMGMNm+WPxi99pq1RyIIQkWUd6JryROPbdsM31ddTsjLGmfHjpYbhz3VhbAmu8004F4NlvnzzRuwSUgwPA2quvxdG6T0hpg9oHACHKD7N9B4EkrXALmAqG+46QuIOjihrN2LmI6v4OtVF7VGTT2feigdlPQM78ngJoOtNg0FrBjYcHZ2pn379uzcuVNn+c6dO+natWup9b29vTl27BhHjx4tuk2cOJEmTZpw9OhRom3tf8tmzdA0iuQm/ty6BZYo7SEIglATDRggFxI9fhxOn7b2aARBMFZ5rUGr/YmHhRk6nqGhMHasZcdiT3UhrMVep/RYMmBj6FgNGGAngTYnd6jVARycYM8I2OAC6f8SrgTXvOumLyBaqI53HaICo5CQuJh+kfS8dLqEdWFAYwPVYS3EqlNRXnjhBVatWsVnn31GYmIizz//PBcuXGDixImAPI1k9OjR8kAdHGjRooXOLSgoCFdXV1q0aIGHh4c1n0ppjz+Ow5lTvO2/GBAFRAVBEMzFzw8eeED+/ttvrTsWQRAqRnsCXLJbgqWv8PfrZ/i+6nQiqa/ORmqqda7yW7ujSHVnr1N6LBmwMXSsDBUxrZa6fA4uQSCpAA24hqKs/x8Crv9MoNLFNAVEJQ3kXIO7Z1Gd/4a431/hnb1vc+bWGXxdfUnPS2f5weUmCZpUhXEVOM3k8ccf5+bNmyxYsIDU1FRatGjBTz/9RP369QFITU3lwoUL1hxilYWHw82bcmCjVStrj0YQBME+DR0KO3fKgY2yrgALgmCbHn9cnlLm7GydIonR0fDkk/rrbFSnE8myThpFgKF60QaGihe0tYcpPfYasLEa70jo+BH8PliejhLSG1DQ9dQmwkIbsvF2Ole5WvkCoreOwB/DIEvuhqHSQHQ+7MoORIEnbUPbcuXuFYI9g63aEQVsoHjo5MmTSUlJIS8vj8OHD3P//fcX3RcXF0d8fLzBx86bN4+jR4+af5BV0CBcQoFGZGwIgiCY0eDBoFDIV34vX7b2aARBMFbx4ojjxsG//1rvxG3dOvlEsuT4qtOJpDhptB8zZ+oGNfr2tY8pPYamTJmjALi9TucpxclL/rp3JPzPB9U33pzIVfH15X+rVkC0IAd2DwSlLzh5onIOJC4DvnPpiCLvBnezr/Nr8q+cu30OV0dXwn3DzfUMjWL1wIZdmzSJtVv9+Q8bRGBDEATBjEJD5ZMjgO++s+5YBEEwji0WR9TWhKiutSFE4U77oO9vY/t2OQBoD/RNmTLH336NCPRJEpx4E1CAJh8cXFEqkAuIKgqqVkD0bhLkXIEWr0BBJsr8G3R3BZdbBzmtUuLmAO5Kd/zc/PB29bZqtgaIwIZ5FRTgnnubxpwSgQ1BEAQz07aMO3LEuuMQBME4tno1tbrXhhCFO6s/Q38D69bZR1cUS/3t6wv0Vee/bb3ybsgtX10CIfB+CH4QFErCXV1xzT7LudtnK19AVOkrf70oFzBT+bbnz1wnTuNNZoEKR4UTKo0Kf1d/MvMyrVpfA0Rgw7wKw4GNOUVyspXHIgiCYOdiY+UPRStXWnskgiAYo0ZcTbWS6h6csTUJCZYNKpT1N7BwoWXGYE6W/NtfskR3itm6deZrL2sdhafzTm5yAdHrvwKgVDgQQB6BeVcrX0DUMxwa/h+c/xIUjijvHCbGvYBbuRmogO5hnXHAAQeFA0+3f1pkbNi1wr/OJiSJjA1BEAQzCwyEyEhrj0IQBGPpu5pasjuKIFhb8TownTuXrsNiDtpitvps3Vr9sza0gbfizDVlShuUKs7aU95MyjUA6gyCnKuQtg/UeXKAQ51D10YDeFJ5FU8nF1QaFY6OjhUvINppJYQ/CZKGbP8eBLaaTYRPXZwVcEcNDf0a0q1eNyL9rf8BTAQ2zKlJE0DO2LhzR+LOHesORxAEoaYoKLD2CARBMEbJdq9bt1ru5FEQyqOv1sX69WW3BzaVdeugZUv991l7ulZVlSyM+uST5psyZatT3kyq21fQaAw4eYLCAYJ7oeqxnRMOgXydCdezrqNQKFCpVXx08KOKFRB1cITOcahqDyLu7G7e2fM6f9+5RJ7SF8lRyfWs6yRcTrD6NBQQgQ3zatgQHBzwIpMQrnL+vLUHJAiCYN8yMuSiZCEhkJVl7dEIgmCsrVt1f16/3n4KJQrVl6GTX0sU8pw5E44d039fdZ6uZShYZK4Mihox5c3JAzouh/u/BUkNzr4o7xyme9oW6niF4OVai1CvUFwdXanrXZfuYd2NnzaizocrP6Ks+zDdO83Dpd6j5Pq0IdinIZIk0bluZ/pG9LX6NBQQgQ3zcnaGBg0AeTqKqLMhCIJgXl5ecvHQmzfh55+tPRpBEIxh74USheqrrJNfc74+9Z38a1X3LjeG/t7NVTukRnUKCukFXdbDrcOojr/Jnw71yA3swa2cW1xKv8S52+e4lXOLPy/+aVyGRUE2/Pog/D4EVcI4/jy4gNN3b3BHnc/FjIuk3EnhetZ1MvIyRMZGjVCsgKiosyEIgmBeCsW97ijffmvdsQiCYJyyTh7tKl1cqHaio6FvX8P3b9tmnv0aet3PnVv9u9wY+ns3Z+2QGtUpqMFIGHwO5fB0Yvr8j7sFKjSShuZBzclV53I9+7rxLV+T3oNbhyHmT5SPZ9M9vBfpV/8gJz+HYI9g8tX5pOel071eBTJAzEgENsytWJ0NEdgQBEEwv6FD5a8//AB5edYdiyAI5SurUKJdpYsL1dITTxi+b+dO8+zT0OveErU9zC062nCRYHMEMosXD61pnYLCfcNxdnRGLalJvp2MhARgfMvXu2fApwUEdkN1ZjV/XjtBhkZDTt5tslXZKB2V5BXk8ecFIzNAzEwENsxNdEYRBEGwqK5doXZtSE8X01EEobpYt85yXRLKYum2noLtKyu4tneveV4r9j59Ys4c/ctNHcgs2dHGvtq8lk/pqKSJfxOC3INwVbripfTieuZ1XB1djauz4RMFd/6BnzujOvQs0ZpLaCRQ5d2huW8dnByccFO6Gd8+1sxEYMPcxFQUQRAEi3JwgOHD5e83bLDuWARBMJ42Tdxa6eI1/STIlOwpQKQvyFCcuaZL2fP0CUsEbvTVKbGrNq/6ZF2EhHEQPwCOzkKVd4csVRb+Hv4UqAuQkLiRfYO/r/1tXJ2Nxs+Cb2tUaQnEZcB3WY7gGoQEnLt2CLVGjdJBSbhvuCWeXblEYMPcCqeiNOQcF8+pkCQrj0cQBKEG+M9/5K/ffw/Z2dYdiyAIxouOtk66uD2eBFkruFDTAkTmmC5VE6ZPmDtwUyPavGpJEhyeBt/Vg7OrIW0/JL2H8o9HeLrtWDQaDRpJQ+uQ1mgkjfF1NhxdIHIKSgV09wvGxbsB1zSOeDqAO2qCPYNpGtjUJrI1QAQ2zK92bSR3d5QU4H83mTt3rD0gQRAE+9epEwwZAvPng1pt7dEIgmDr7O0kyFrBBXsNEFmyQ0lNCgyZM5BZI9q8ap35RC70iQLaLAUHZ/BqDNfjCdekVa3OhjoTlQR/3r7G33eukpaZCoDK0R1/V38y8zJtor4GiMCG+Tk4oFizhmF+v3KJumI6iiAIggUoFHJXlBdflFvACoIglGXHDv3Lq+NJkDWDCy+8oH+5ubqHWIIlO5TYY2CoLObMKrL3OiU6Un+WAxmOLtBkKrScB3f+BkAp5enU2XB3dOdW9i3j62xc/gGVSzDRrnAjNxONBK1dQOMehgYNT7d/WmRs1CjDh3O58QPk4C4CG4IgCIIgCDYkIQHWry+9vLpOATAURDB3cCEhQS6maW8MBbfCwky/L3vLHCqLJTJT7LlOiQ4nb1DngqSR62uc+ghQgEsQKp9WRXU2cvJzyFHncDf/LqdvnTaqzoYq+zpxOV585/84eDVC7aDkXIECtaSxqfoaIAIbFhMeLn9NTrbqMARBEGqU9HRYuxZ++83aIxEEwVYZOuFv2NCy4zC3lSvNu/2yTr6rc5tSQ8VDx40z/cl4TZk+YcnMFGvV7bGoqBcg7wY4esC1XyD9GCCBiz9KR2dGtRpFgbqAfHU+oV6hKCQF6Xnp5Wds/P0qyvQjdFedweXCRq5mXQONCkdnb5urrwEisGEZ164xLGMNY1klMjYEQRAs6N13ITYW3nrL2iMRBEGwDENBhCtXYPVq8+3X0Mm3PZxULlkCq1aVXm7qk3F9QRR7OH4lGQqCLVxo2XHYDb820Hs/SPngEgTt3pN/zrmM6th8/rz4J/nqfJSOSrLzs8lWZ5Oel152xsbVX+D4IlQt5vOre0eO58OdvEw0CkeynWrh5ezF7ZzbNlNfA0RgwzLOneOxbWN4jQUisCEIgmBBI0bIX3/+Ga5ds+5YBEGwTYYCAdU1yyA6Glq31n/fwYPm3a++k/LPPzffPi3J2Vn/clNPE1myRD5uWuvW2V8BUUNBsK1bTZ+1YU+th8vkFQkFWdB2KTSdCgHRENANZeYZYhrG4OrkipODE82DmqNSq9BImrI7o9z+GxzcIOs8d26f4FC+I5kaCHAP5K4qm9M3T+Pr6mvRp1geEdiwhMhI0trF8D0Pk5Is+r0KgiBYSpMm8odttRq++sraoxEEwRbZY5HBZ5/Vv7xjR/Put2RNA3sJaoDlpokUb/WqZW8FRKOjYcAA/feZMlCkrd9REzrM4OgK7nUh+XPIuwU39sONP8AliHCf+qU6o6jUqrI7o3jUA00OquQvGBT1KLWcnCmQQIkaN6UbTQKaMLLlSDEVpcYJCODmlzt4lg9JOa9AErENQRAEixk9Wv5qTx+wBUEwLXsrMjh2rNz2urjoaHm5udlrTQNLBcCsVfzV0ubM0b98507TbH/UKPsPEOlQKKDzWrh5ADb5w84uUJAJ51aj/GMITWo1LOqM4uboxrnb58gvyDdcZ6P2QFQSfHorj43HvuRWfg4SkJGXQXa+PJXFlgqHAjhZewA1Rb168te7d+HWLfD3t+54BEEQaorHH4dp0+DIETh2DFq2tPaIBEHQJyFBvlqbny+n/TdubJmTY+1+GzfWnQJQ3fXsCQcO3Pu5Rw/L7Lf48bS34MaSJTB0qP0+P0uKjoZmzeDECd3l69bBlClVO7aGOh2B/Luz299byIMw4LjcGSX7CtR/DHJvoLr8I1kF1/FxC+NG9g00koZMVSZHrx0lwCOA+r718XH10d2WgxM4OHHHuwkJd7O5LF3B21GFq4MjaidX8gvyrfMcyyAyNizEzQ0aBd0lgBuizoYgCIIF+fvDwIHy9yWv3giCYBuKt34cN85yqeOWaDlpDZbsOlFcTUj9N3dGir3VfDEkIaF0UEOrqtNRynq8vXWYKcWjHmSmgJMbnPsMbu5DKeXzf04XuXDnAmnZafi7+6PWqElKSyL5djJfHPtCdzqKpgAS/4vKyY9BBcdxzLuJWp2HFxqcXPy4P/x+pkZPtalpKCACG5azeDFnrnvzOrNFYEMQBMHCRo+WszSvXLH2SARBKEnfSbiWOU/GrXXybwmGTuxMXeiyuBqX+m8m9ljzRR9zBh/suUOPURxdIScVYvbCwJPgEkAz6Tr9wu8j0COQ9Lx03JzcyC7IxsvZq/R0lAMTUB19hU+v3WB1OpzIzEACcpz9SC9QceXuFYY0HWKtZ2eQCGxYSp06AERyWgQ2BEEQLKx/fzh/3nBqqiAI1lPeyba5TsatcfJvKZYqdKlVXuq/UDH2VvNFH3MGH/QFhwBCQ6u23Woh66J8JQcN7OgM39aBghxUEqTckv8YHXAgV53L7ezb7L+8nx3ndpCemy4/Pv8OnPuMbA2k+kZzwK0V6RK4A84OTrg4udjkNBQQgQ3LiYwEIIIzJCdbeSyCIAg1jLMzhIVZexSCIOhT3sm2uU7GLX3yb0mWvupfo1P/zcCe65Rombs98NChpZfZfQaRRgXx/eSvAJJGLiDqUQ+lsw8Dooah1qjJKcjBz9UPtaTm9M3TnLxxkjVH18jTUdS5qCT44i5kejYmXyOhBpQOkKnKoo5nHSZ3nGxz01BABDYsJyICgHpc5MrZHCsPRhAEoea6dAnS0609CkEQtAxdXbXWfjdvtvxYzEF71X/uXPn2yCPm21dNSv3XtmM11wmyvdZ90afka3TKFNNt254zsgzKOAnpxwEFKH2AwlacGYkQvZpHW44mzFu+ypOel47SUUm2Kpuzt89yI+uGvK5rMEq/VnR3hdqXvuT2rWMoADXg7OhKs6BmjGg5wgpPrnwisGEpAQGoPORqs+rT56w8GEEQhJppxgyoXx8++8zaIxEEoTh9V1e1zHkiYu9XdTdvhvnz5Zs5T5I//FD/clOeqNoCcwcd7LnuiyElX6MDB5rm+eYbmC1h1xlEDs7yV9VtUJW8gqMBwNnRGUcHR3mRBHfz7nIl4wrOjoWPVShQNRzPr9mwJ1tNmloOj7g4OODtFsiF9Au6hUZtiAhsWIpCgbqBnLXhduk0kmTl8QiCINRAjRqBRgMrVyL+HxYEG2KtqQz2fFXXUifJNaW+hiWOpz2/HvXRd0y3bq160GjmTLm7kr7l9pZBpMOrMTgHyN/7tQe3OsXudEDpqGRU61HU8ayDg8IBLxcv1KhJy0mjeWBz0vPkYEj2lR2cdgrmzwIPVDjgq3SlQKOhQKOivm99yz8vI4nAhgUpo+Q6G3XzznDzppUHIwiCUAONGCG3305MhH37rD0aQRC0rDWVwZ7rbFjqJLmm1NewxPG059ejPmUdu8oGjQx1WVq1yj6LsOpQKOR2rwonSP9X7o6i9AEUEPIQAAMiB3A9+zr5Bfnkq/NxwIH03HRe+eUVnv7+ac7ePMtHV1I4lnmXXHU+EqBBQb4EHs6evNDlBZusrwEisGFRjk3kjI1ITosCooIgCFbg4wPDh8vfr1pl3bEIgnCPuQsJVmS/9nJV11AqvqHllVVT6mtYIuhgz69Hfco7dpUJGq1cqX/5xYsV31a15F4XPBtA8INygMPBFdzrgbOvfLezO53rdsZV6YpG0uDi5IIaNamZqdzMuUnsd7F8cTODv7KyUWlUKNCQocohFwWeSk8ia0Va9/mVQQQ2LKlYZxTR8lUQBME6xo+Xv27cCBkZ1h2LIAj3lGxxae6ghqH92stVXWfnii2vLGsFpSzNUkGHJUvkwPuECfafZVBe4eCKBo1mzoTVq6s2pmqv1XzISYVbB+WOKPlp0H6ZzirPRj9Ly6CWFKgLilq3Zquy2X9xP/su7uNMRiraVhcSoAB8FBLNPd1tNlsDwMnaA6hRIu5lbGwQGRuCIAhW0bUrREXJ01HWr4fJk609IkEQtKKjrXN12lr7NSdLTmtYskQuxGrvLUot8Txnzrw3lWLFCnlfS5aYfj+2QntMFy6U62toVTRoZGgKila/fpUfY7Xi1wb6HobkdaDJh7BHIKCzzirRdaK5k3MHtaRGU1hUVIOGfEkOcqg16qJ1NYCkUBLm6spoB9tOexEZG5ZUmLFRj4tcPiNavgqCIFiDQgETJ8rfr1tn3bEIgmAbzN3C0xos3c42Otr+pp/oY87nuXp1zeuKAvKx/PHHqmWqlDVtxZ6n8+jl3RhaL4S2S0oFNQCUjkqGNRuGn6sfEuVXUnd1cqWdfxjd3TTmGK3JiMCGJQUEkO/mDUDuCdHyVRAEwVpGj5bbE/78s7VHIgiCPpYMNJi7hac12Xs7W2sxx+vTUCcPsN+uKMVpn/+KFfLXiv4dGspEsvfpPBWmzoU7x3mt0zg6h3XGQ+lR5upeji50qVWbMQ5nIbSPhQZZOSKwYUkKBblhctaGU8oZKw9GEASh5vL1hSlTwNvb2iMRBKEkSwYaLNUS1VpqWvtQSzDH67O8aRT22hVFy9Df4bx5xv8t6stQ6ttXriljL3/PFZZ7HU4ug0PPwe7BsOtB2BwCP7WALXVoXnCJqIAo/J2cUeh5eKCTM00d8+iQn0TnyEegTRkvUhsgAhsWlvHOahpylrVpA5DKz/wRBEEQzEySQKWy9igEQQDLBxrs/cS/prUPNTdzvT5r+jQKQ89//vyKBY+WLJGnCWlt326fmVhGyb4E29rB0Zlw6gO4/D3c+BNU6VD3EWj3Dg/n/0VnL2+CHSWcFbphAVcgUJFPtKcngx74FLp9BU5u1nkuRhLFQw1Qq9WozPBJ1+f+JtAAAjQFXLxYQFCQyXch2DlnZ2ccHERMUhBMYetWmDMHhgyB116z9mgEwTBzfS6xNX/8AfXr61/eurXp99e4sf79NW4Mubmm319FVfU9X3sVu/jJuDlPlBMS7LuAqKET8PHj4Z9/Kr9dQy14O3euGdModuwo+/6lS+VpVeW9prRThKqyDbtxbIEcxHAOgPxb4NcWbu6DBqMh+XPoEkfn5PXg4Em9nGCO5+ahCOgKl7ciaQqQgOauCu7396PzmXkQ9aQIbFQ3kiRx9epV7ty5Y7Z9rFgBajXcugVZWWbbjWCnHBwcaNCgAc6m7tcmCDVQRgYcOQLXrsGsWaC03S5mQg1lic8ltqRzZ2jRovRyT09INkNHOW9v+USo+Ocxb2/5Zo79VZQp3vMt0ckjIaF0V4uXXrK/bh6GMl2OHZNft//+W7ntGvr17t8vH1t7PhlPSJA7lJXn1Knyj0N5mVbGbMNupG6HgixwCQAkuHlQXp53U/6akQSZ5+jcuC+dWz8L8f1B2gHBhR1ROnwCKXGQnQrZF+FuktxxxYaJwEYJ2g8PQUFBuLu7o1Dom3FUBQUF+ObfQq0qwDG4Nn5+pt28YN80Gg1XrlwhNTWVevXqmf71KQg1zNChEBQEV67InQIef9zaIxKs5fbt20ydOpXvv/8egIcffpgPPvgAX19fg4+JjY1l7dq1Osuio6PZv3+/ycZl9s8lNsbDA65fL708KAizZLlevQpubvINwMcHwsJMv5/KMOV7vjnb2Y4erf8quT1eIY+OhgEDdAM4WsePy11Nxo6t+HYNZWwAbNtmX8ewpIULjVvPmOlT5a1TY6Zg5d+WgxEKRwgbCiffARSgUMKVreDgDL88IAc9mjwHrkEQsxfiB8rrqbPhUGH7OG31DWfbP2kVgY1i1Gp10YcHf39/8+xEpSJUJb9jp0rhuLqKKQVCxQQGBnLlyhUKCgpQisvLglAlLi4webJcoOzdd0VgoyZ74oknuHTpEtu3bwfg6aefZtSoUfzwww9lPq5v376sWbOm6GdTZtNZ5HOJjalVS39go1YtcHU17b4yMyEtTXdZejqEhsoZIrbAVO/5CQnyCTJAv36mO1EeNarsq+32eIV8zhz9gQ2AgwcrF9ioqUm4CQmGj2Vxppg+VRNqlRRRF86j821TGNQAkEBSgVcTCO4JHvWh0XhwDZDvdg8DdZYc1CjiAGjAp7m8vo0TgY1itHNX3d3dzbcTJyeyPAK5neWMJk9UDxUqTvuhWa1Wi8CGIJjAxImwaJH8AWv/fjkVXqhZEhMT2b59O/v37ye68JPvypUr6dKlC0lJSTRp0sTgY11cXAgJCTHLuCzyucTGeHpCSIicSaEVEmKeQENenuHlthLYMMV7/syZujU25s+Xsw7mzKnaiZ4xUwjs8Qp5dLTcbaMwBqqjY8fKbbOs49SvX+W2WR0YU6R31Srjg0WGtjd3rnwBo8ZwDQH/aMg6D1Ez4c7f8tSU+7ZA2GD9j0l6D3CkKJgB8lefluBUdktYWyHSBfQwa5qnQkFOYH2uEkpOvqP59iPYLXtPQxYESwsOhieekL9ftsyqQxGsZN++ffj4+BQFNQA6d+6Mj48Pe/fuLfOx8fHxBAUF0bhxY8aPH891fekGxeTl5ZGRkaFzK09N+3+/bl1o2hQaNJC/1q1rnv24uFRsuTVU9XdvqI3o1q1V7xRR3kmpPV8hb9Wq9LLo6Mpla2gfW7JVKdj3MYTyA18zZ1bsmBranj0Hh/RSKOD+b8G3JSS9C7ePQPQqw0ENgLzr4NUQnH1B6Qe+7eTlmjxwC7bIsKtKZGxYgfYNs6z5dIIgCILlTJsGcXHwv//BpUvmO5ESbNPVq1cJ0lPAISgoiKvFUwdK6NevH4899hj169cnOTmZOXPm8OCDD3L48GFcDJwdL168mPnz55ts7PZKmzGhzaowRwaFJbNDrKW84ENV6mCUd1L6yCMV32Z1YChY9N57VduutsirOaYM2aqyapZUJsviww9NMiz74BYKD+6Qe9prA6S3jsCl78DRGcJH6k4v8e8MZ1dTlLFx57a8POcKdP/a0qOvFJGxYQUuSg1u5OCYl40kZqOUq2fPnkybNs3o9VNSUlAoFBw9etRsYwL5Kp1CoagxleoFwZ61bi1fLfv+e6hd29qjEUxl3rx5KBSKMm+HDh0C9F8ZlySpzCvmjz/+OAMGDKBFixYMGjSIbdu2cerUKbaWMWl81qxZpKenF90uXrxY9Sdqhy5dgpMn5c4kjRuHM2/eMqMfW5H3Z19f+W++dm3zZodYizFTQYyZDqBPdDR06mT67do6Q8Uuq/p8ta1y+/WTT+jtPaihNWeO/uUVzbIoa2qUvb4WjZKyHn55CH5qDT93hNMfwYkl8FMbuHP83npBPQq/0eg+vvYg8DNDr20zEIENK1Bm3qI5x6nLRZNmbVy9epXnnnuOiIgIXF1dCQ4Opnv37nzyySdkZ98rBBMeHl70gc7NzY2mTZvy3//+F6lYlKWsDwVt2rRhXhkh1NjYWIYMGWKy57V582YWGlsyGQgLCyM1NZUW+vrFCYIgGLBkCfTvDw7indFuPPPMMyQmJpZ5a9GiBSEhIVy7dq3U42/cuEFwsPEpuKGhodSvX5/Tp08bXMfFxQVvb2+dm72p6AWJkjIzdbMo1q49SK9eT5OZadzju3btSmpqKj4+PmWul5wsB0+uXJFvlr5OUdXjZAxDUxyKq2wdjIQEOHDA9Nu1ZWUVu6zK8505U54aNHp01acIVTf6XqOVmYJTVvDCHl+LRjmzCvaNBgcl3D0DkhpaLoTB5+XpJf8Uiyppi4Y6eYJvK2jzX7mLyuVvISfVOuOvIDEVxQoUhWW9XcgjP980cznPnTtHt27d8PX1ZdGiRbRs2ZKCggJOnTrFZ599Ru3atXn44YeL1l+wYAHjx48nNzeXXbt2MWnSJLy9vZkwYULVB2MklUplVCGsWrVqVWi7jo6OZivkJghCzVA8c1OovgICAggICCh3vS5dupCens6BAwfoVHgJOiEhgfT0dLp27Wr0/m7evMnFixcJDQ2t9JhrCkmSUKvVODmV/ihasqinn19g0XJjpok4OzuX+zng3Dm4dUt32dWrcgaHPU1FAXl6g76pE1C1Gg5lnUjaa20IQ8+5dRUuaOub2mKPrXLLop2Gc+qUHISozPPesUP/8lGjas5xLOXUB1DvMXkqydfe4NMCznwCDUfLAYzrv8N3jUB1GzwayLU1VLehwSi4eRCkAlCr4NpuCP+PtZ9NucR1KWsojGQ4k09+rqaclY0zefJknJycOHToEMOHDycqKoqWLVsybNgwtm7dyqBBg3TW9/LyIiQkhPDwcMaNG0erVq3YYeh/hAqYN28ea9eu5bvvvivKComPjy+aHvL111/Ts2dPXF1dWb9+PTdv3mTEiBHUrVsXd3d3WrZsyVdffaWzzZJXNMLDw1m0aBFjxozBy8uLevXq8emnnxbdX3Iqijb75JdffqFDhw64u7vTtWtXkpKSdPbz+uuvExQUhJeXF+PGjePll1+mTZs2FXr+mzZtonnz5ri4uBAeHs7bb7+tc//y5cuJjIwsyqh59NFHi+773//+R8uWLXFzc8Pf359evXqRlZVVof0LglA1mZnw2mvQrh0UNqQQaoCoqCj69u3L+PHj2b9/P/v372f8+PEMHDhQpyNK06ZN+fbbbwHIzMxk+vTp7Nu3j5SUFOLj4xk0aBABAQE8Yq/FBYwQGxvL7t27ee+994o+B2iPj0Kh4Oeff6ZDhw64uLjwxx9/cPbsWQYPHkxwcDCenp507NiRvXt36Wzz4YfD+fLLZUUXghQKBatWreKRRx7B3d2dyMhIvv/++6L1S2adxsXF4evry88//0xUVBSenp6MHNmXtLR7VyELCgp4662p1K7ti7+/PzNnzuSpp54qMwP1/PnzDBo0CD8/Pzw8PGjevDk//fRT0f0nTpygf//+eHp6EhwczKhRo0gr7C9r6DiZQ1mdIt58s/LbNXQVfNWqqm3Xlhl6zn//XflMC3NNbaluoqPlIATAunVywMdYhqah9O0Ln39umvFVS5o8cC68QOzfCbJSIO8mbGsDtw5D/i3IOgc4wu2/5KAGwJEZcD0eWi+Sf3Y0ca9tMxGBjXJIEmRlmfiW58TdXCXZOQ5kpOUZXM/Y+hs3b95kx44dTJkyBQ8P/e14DM0RliSJ+Ph4EhMTTdI6dPr06QwfPpy+ffuSmppKamqqztWumTNnMnXqVBITE+nTpw+5ubm0b9+eH3/8kX///Zenn36aUaNGkVDO/2Zvv/02HTp04MiRI0yePJlJkyZx8uTJMh/z6quv8vbbb3Po0CGcnJwYM2ZM0X1ffPEFb7zxBkuWLOHw4cPUq1ePjz/+uELP/fDhwwwfPpz//Oc/HDt2jHnz5jFnzhzi4uIAOHToEFOnTmXBggUkJSWxfft27r//fgBSU1MZMWIEY8aMITExkfj4eIYOHaozPUgQBPNzcoJPP4WjR2HjRmuPRrCkL774gpYtW9K7d2969+5Nq1atWLdunc46SUlJpKenA3J24LFjxxg8eDCNGzfmqaeeonHjxuzbtw8vLy9rPIUyJSRU/GShMt577z26dOnC+PHjiz4HhIWFFd3/0ksvsXjxYhITE2nVqhWZmZn079+fXbt2ceTIEfr06cPw4YNQqy+U2nbxqSLz589n+PDh/PPPP/Tv35+RI0dyq2QKRjHZ2dm89dZbrFu3ju+//51r1y6wbNn0ovs//3wJ27d/wZw5a9ixYw8ZGRls2bKlzOc6ZcoU8vLy+P333zl27BhLlizBszDdIzU1lR49etCmTRsOHTrE9u3buXbtGsOHDzfqOJmSuTpFGJpCUNnOINVBeVN7li6t+Am5Oaa2VFeVnZJjKDik7XhWY4U9CmdXwZGZ4BUBBZmQcwnungaPhoAEdR+B/DRo8H+FD3KUp6AEPwQn3wHvKAiNseazMJ5Uw6Snp0uAlJ6eXuq+nJwc6cSJE1JOTk7RssxMSZJDDJa/ZWYa95z2798vAdLmzZt1lvv7+0seHh6Sh4eH9NJLLxUtr1+/vuTs7Cx5eHhISqVSAiRXV1dpz549Rev89ttvEiDdvn271P5at24tzZ071+B4nnrqKWnw4ME6y5KTkyVAWrZsWbnPp3///tKLL75Y9HOPHj2k5557Tmf8Tz75ZNHPGo1GCgoKkj7++GOdfR05ckTnuezatavoMVu3bpWAot91dHS0NGXKFJ1xdOvWTWrdurXBcZY8Rk888YQUExOjs86MGTOkZs2aSZIkSZs2bZK8vb2ljIyMUts6fPiwBEgpKSkG96el73UqCILpvPGG/H9wy5aSpNFYezSWV9b7pGB6Ff1cUhkvvaT7+aLYRwKzKPm+LUn33jO3bNlS7uObNWsmvfXWB9LBg5J08KAkhYbWl55//l3p4EFJuntXkgBp9uzZRetnZmZKCoVC2rZtm86+tO/Pa9askQDpzJkzkiTJ23jppY+kWrWCi/ZRq1awNHXqf6WDByUpLU2SCgoKpHr16pX6PFNcy5YtpXnz5um9b86cOVLv3r11ll28eFECpKSkJIPHqSRzvQZmzqzS5nSsWiVJEybIX2uKVasMf37//HPjt/P55/q3MWCA+cZuq/bv138s9u+v3OOMeazdU6sk6eCzkrTRR5I2eEnSNwGS9KWjJH2hkKRjiyXpCyTp5y7y1zOr5K97npK/7uguSfvHSVLONWs/C6M/l4iMDTtSMivjwIEDHD16lObNm5NXYsLqjBkzOHr0KLt37+aBBx7g1VdfrdA84srq0KGDzs9qtZo33niDVq1a4e/vj6enJzt27ODChdJXaoprVayBuEKhICQkhOvXrxv9GO38Z+1jkpKSiuZVa5X8uTyJiYl069ZNZ1m3bt04ffo0arWamJgY6tevT8OGDRk1ahRffPFFUVHX1q1b89BDD9GyZUsee+wxVq5cye3btyu0f0EQTGPSJPDwgGPHDM/ZFYTqwtD8fXNnbhhS8nNAVlYWL730Es2aNcPX1xdPT09OnjxJSor+zwHajzPF39M9PDzw8vIq83OAu7s7jRo1AuQaGvXqhXL7trx+ZmY6t25do3lz+X3fxUXOyGnfvn2Zz2Xq1Km8/vrrdOvWjblz5/LPP/8U3Xf48GF+++03PD09i25NmzYF4OzZs2Vu1xyWLIH9++W0/P37TTdVZPRoGDcOVqyQv9aUopfOzobvq0imhaF1DXUKsWeGpt6UNyXH0P0NG9bg2hpaqdvlAqIF6aC+C/m35cwNJPhnNrgGQ1rhm8HRV8G1NqQfAwdn6P4/iF4JrqVbodsqqwc2li9fToMGDXB1daV9+/b88ccfBtfdvHkzMTExBAYG4u3tTZcuXfj555/NOj53d3nOtalvt/69Qubvf3H+zwsG13F3N26MERERKBSKUlMxGjZsSEREBG5ubqUeExAQQEREBF26dGHTpk28++677Np1b06rtkq7NuW2uDt37pRbadyQklNl3n77bd59911eeuklfv31V44ePUqfPn3IL6ddTMlpMwqFAo2m7HolxR+jDQIVf0zJwJBUwWkgkp62gMW34eXlxV9//cVXX31FaGgor732Gq1bt+bOnTs4Ojqyc+dOtm3bRrNmzfjggw9o0qQJycnJFRqDIAhV5+cHTz8tf794sXXHIghVVdmTBXMp+TlgxowZbNq0iTfeeIM//viDo0eP0rJlSzQa/Z8DtHU2Kvo5oOT6tWopSr3PKxQK/P3vFQ8t73PAuHHjOHfuHKNGjeLYsWN06NCBDz74AJA/XwwaNIijR4/q3E6fPl00DdXStDUMTHWyN2qUPL2pOGsGzSzJUECib19xMl1Zho5peYEiQ/efO1czXosG5aTCH4+BJhe8tAdJDRmnwK2u/H1usW5gedcg94pca0OSYHs7yL5kjZFXmlUDGxs3bmTatGm8+uqrHDlyhPvuu49+/foZvFr/+++/ExMTw08//cThw4d54IEHGDRoEEeOHDHbGBUK+cqdqW9eAc54uGnwdcnBzU3/OsZW5Pf39ycmJoYPP/ywUsUm/fz8ePbZZ5k+fXrRm3hkZCQODg4cPHhQZ93U1FQuX76sU0ytJGdnZ9RqtVH7/uOPPxg8eDBPPvkkrVu3pmHDhmW2yTOXJk2acKBEz7JDhw5VaBvNmjXjzz//1Fm2d+9eGjdujKOjIwBOTk706tWLpUuX8s8//5CSksKvv/4KyB+ounXrxvz58zly5AjOzs5FReoEQbCsF14ApRJ274YSf9aCUK1U9mShKir6OSA2NpZHHnmEli1bEhISQkpKCkql/FmoOA8P03UsKX7Nx9PTh1q1gklJOUCDBvIytVpt1OfLsLAwJk6cyObNm3nxxRdZuXIlAO3ateP48eOEh4cTERGhc9MGdypynEzBlHVWDBVrBMP1DuyJoVob27dXLGvF1gKP1qTvmGoDcWW9djdvNrzNmngci9z+Rw5qOCihVfE/SglavnbvR4UjuNUBFPLNrS48fFZe79/XLTvmKrJqYOOdd95h7NixjBs3jqioKJYtW0ZYWJjBoo3Lli3jpZdeomPHjkRGRrJo0SIiIyP54YcfLDzyqnP00G35WlXLly+noKCADh06sHHjRhITE0lKSmL9+vWcPHmy6MTakClTppCUlMSmTZsAObtgwoQJvPjii2zZsoXk5GT27NnDiBEjiIqKonfv3ga3FR4ezj///ENSUhJpaWmoymgtEBERwc6dO9m7dy+JiYlMmDCBq8Wb11vIs88+y+rVq1m7di2nT5/m9ddf559//jFYdFWfF198kV9++YWFCxdy6tQp1q5dy4cffsj06XJxsh9//JH333+fo0ePcv78eT7//HM0Gg1NmjQhISGBRYsWcejQIS5cuMDmzZu5ceMGUVFR5nrKgiCUoW5diI2Vv1+0yKpDEYQqMVTg0ZxXlcPDw0lISCAlJYW0tLQyMykiIiLYvHkzR48e5e+//+aJJ55Ao9GgUsmF1IvLypIzWk2hsDlJkdjYZ1mxYjHfffcdSUlJPPfcc9y+fbvMzwHTpk3j559/Jjk5mb/++otff/216H17ypQp3Lp1ixEjRnDgwAHOnTvHjh07GDNmTFEwoyLHqaoqW5TRkLJOGLdurRlXypcskTvAlFSRrBVrBB6rk3XroHlzw69dfVPtiqvRx1E7hUSTL7d9Le7IS3JrVwBJDTmXAUluAZtzCe78C75tIOeKJUdcZVYLbOTn53P48OFSJ8i9e/dm7969Rm1Do9Fw9+5datWqZXCdvLw8MjIydG62QFG85Wte1d/IGjVqxJEjR+jVqxezZs2idevWRSmR06dPZ2E54fPAwEBGjRrFvHnzit5Y3333XcaNG8crr7xC8+bNGTlyJA0aNGDHjh16+85rjR8/niZNmtChQwcCAwPZs2ePwXXnzJlDu3bt6NOnDz179iQkJKTM1mrmMnLkSGbNmsX06dNp164dycnJxMbG4upqfHujdu3a8fXXX7NhwwZatGjBa6+9xoIFC4gtPDvy9fVl8+bNPPjgg0RFRfHJJ5/w1Vdf0bx5c7y9vfn999/p378/jRs3Zvbs2bz99tv0q2rJckEQKu3ll+Xq/u+/b+2RCELVmKu+giHTp0/H0dGRZs2aERgYWGbdrHfffRc/Pz+6du3KoEGD6NOnD+3atcNQIkOJkmGVkpmp22EF4LHHZvLooyMYPXo0Xbp0wdPTkz59+pT5OUCtVjNlypSidsFNmjRh+fLlANSuXZs9e/agVqvp06cPLVq04LnnnsPHxwcHB/njd0WOU1WYo85KeSeMNeVKuaFaG8Y+f33ZBuYOPNoqQ0GKEyd0fy7+2i3rONfU41jErw2EPS5/f6NE6qkq415rVzSAAjwbgnNhqYETb8K1XVCro4UGaxoKqaKFBEzkypUr1KlThz179ugUrVy0aBFr164lKSmp3G3897//5c033yQxMZGgIP2FTebNm8f8+fNLLU9PTy+qI6GVm5tLcnJyUc0Ps5Ik1H8dxVFSc6t2c2rVLl0HQ7CumJgYQkJCSrX7szaLvk4FQahxMjIy8PHx0fs+KZheWce7Jv9/n5kJ+rq4168PgYFV2/bp06CnhBgNGoC/v/y9RqMhKiqK4cOHl3txyJxM8RpYt06+2l3SgAHw44+VH9vMmYavlu/fXzNOKhMS5CyCkox5/lV5rD0y9DrV5/PP5eDatm2g5zSPvn3l+2q8glz42h0c3UFdTrkChZOcvUFhaKDuYOj2NTiWUSnXQoz9XGL14qH6ii0ak/7/1VdfMW/ePDZu3GgwqAEwa9Ys0tPTi24XL16s8phNQqGgwFHO2pCyc608GCE7O5t33nmH48ePc/LkSebOncuuXbt46qmnrD00QRBshAWnwgtCjefpCSEhpZefPw+XqlDPLjNTf1AjNfU8X365klOnTnHs2DEmTZpEcnIyTzzxROV3ZiMMZVds3QqrV5t+fzX+SrmRRH0NXRWZNrJzpxwU0hfUALnWSU2YDlUuByUolKDOBpdg6PJViRWKnXNLBeBQGDxt/x7c961NBDUqwmqBjYCAABwdHUvVU7h+/TrBwcFlPnbjxo2MHTuWr7/+ml69epW5rouLC97e3jo3W6FxdkMCJFMU2RCqRKFQ8NNPP3HffffRvn17fvjhBzZt2lTu60sQBPuXnAz/+Q+MHGntkQhCzeLrCwEBpZdfvVr5WhuGprL4+DiwYUMcHTt2pFu3bhw7doxdu3bZRa2r6Gg5O0OfyrZoNTRtYNUq8091siWVDU4kJMjFqfWpqacFhgqylqSvG48+NTVApMPBERqMAiSQ8uHwlJIr6P6oyYEWc6HJVOO7WNgQqwU2nJ2dad++PTt37tRZvnPnTp2pKSV99dVXxMbG8uWXXzLA0P/S1UReUF3+oh03FGUHcgTzc3NzY9euXdy6dYusrCz++usvhg4dau1hCYJgAzIz4euvYeNG+Ptva49GEGqGS5fkqSgli3xqVbbWhrZdbElhYWHs2bOH9PR0MjIy2Lt3r9XasprDnDmG76tMvQ1DJ42Gak7Yq8oU/9QWcjWULVPTjmFx2npALVvqLh816l6NoJgY47ZVowuHFtd6EaCA/Nvy1BQdelJR/10AB5+xxMhMzqpTUV544QVWrVrFZ599RmJiIs8//zwXLlxg4sSJgDyNZHSxyVZfffUVo0eP5u2336Zz585cvXqVq1evkq4vp7AaULopkXCosZFZQRCE6qBlSxg+XP5+3jyrDkUQaoTMTDkroyyGAhTl8fQEfTXnb940XceV6qiiV7dFNw9ZRbsOldfFA2puxobW5s1w7Ni9n598Ug5qaFu/GvsaK6sNbI3iFgTtC6uga7KNe8zpj2D/GPONyUysGth4/PHHWbZsGQsWLKBNmzb8/vvv/PTTT9SvXx+A1NRUnQrRK1asoKCggClTphAaGlp0e+6556z1FKpE+6asUoEZO3wJgiAIVTR3Ljg4wJYtcPiwtUcjCPatvGyMkBA5QFFZPj6V2291Vl7goqIBieho+USzuJpaW6MiXYeMCSDZSjlAa9AX+Fm/XjejyNgpK1Xt/GNXmjwDfQ5Cs1lyzQ0nb7mgKNz7CuDsD3UflQuJnlsDGeU387AlVi8eOnnyZFJSUsjLy+Pw4cM6aX9xcXHEx8cX/RwfH48kSaVucXFxlh+4CTg6Qj3FBZqSSP5dUUBUEATBVkVFgbaG4Ny51h2LINg7Q9kYtWtD06ZQt655tl/ZLJDqoKzARXR0xQMSM2fq1jl48smaVVujJG0mwalTZZ9MGxNAmj+/cnVP7IGhwE9lO5yIOhvF+HeANougzz7wrA+afHBwhkbj761Tuy9knJALiQJkJltnrJVk9cBGTaZQgJciC0+yUGfmWHs4giAIQhlee00OSG/dCvv2WXs0gmC/9HVECQmRAxtVydQAebpJamrp5VXNArF1ZV3lTkio2JVtY66q1zTauhmjR8tfDQUmRLZB2QwFfooHe4yZzlPe9mq0Wu3hoXjwbAgaFZz64N59KV9CxnFwDQWFI3g3sdYoK0UENqzsjlsIZ2lIjoMdv5sKgiDYgchIiI2Vv3/rLasORRDsXt26cnZGgwamydKAewVJ9ZVm8/Wt+vZt3ZIlhjPOKnJlW7Qp1aXvRLuswMSSJXL3mPLUxONZVuBn6VK5i48xgSGouVOjjOJSC/okQKOnwbF4qpokf8m7Bh0+AM8GVhleZTlZewA1ncrDj9tZ4KKnKK0gCIJgW+bNk0+0pk2z9kgEwf5pMygyMuSbt3flsyrKK0ial2ffGRta/frJV79LqsiVbVE4VFdZgR5DJ9bGdD6pqcdzyRJwc9P/OjXUSaa4uXPl17kIapTj4rdwbhVIhSehgfdB6yVyUMOnOXhHWnd8lSAyNqxMO5/TngtWVUZ8fDwKhYI7d+4Y/ZjY2FiGDBlitjFp9ezZk2nirEYQaqS6deHVV8HDw9ojEQT7p82wuHJFvp08KS+rjPI+Z9lzfY3i9F0R13abqMo2avLV8coEesoLWtTk4wlyYKIqavKxM0reTTg4ERo8BY/dhfs2w40/ITMJwoZUy6AGiMCG1bk4S3iTjmfm1Sq1RomNjUWhUBS1yi1u8uTJKBQKYrU51JQfBAgPD0ehUKBQKHB3d6dFixasWLHC4PopKSkoFAqOHj1a6edQXNeuXUlNTcXHUOlyPd57771qW0hWEITqR6OBc+esPQpBsD2muABQMsNi3rxYpk8fwtWrlWvLWlbgQltfw9SfZWzV0KHQteu9n9etq3ixSu10igkT5K81vXCovkAPyMdW35QUQwEmYzqr1ATG1iIRKikrRS4eGjkRlJ4Q9gh41Kt2XVBKElNRrMzZBRpxFkeVBvJ85NyrSgoLC2PDhg28++67uBVuJzc3l6+++op69epVeHsLFixg/PjxZGZmEhcXx8SJE/H19eXxxx+v9Bjz8/NxNiL/ztnZmZCSlcPKUZEgiCAIQlUkJ8OwYXD9OiQliQwOQTC1sjIsKjNtRFuQtHiwxMcHQkNrxhQUrZkz9RdeXLpUDngYe6W7+HZWrJCnXSxZYrpxVicJCdCihRzgcXaWszE2b5aLiGq99FLp4zN06L2P/WLqRGlLlsjHaNs2/dNSDKlqtkeN4BEODko48yn4NIPUnZB9Ebyq9/wnkbFhrKysit8KCu49vqBAXpaj2/3EpSCb3BwJcnLQ3Ei799hKaNeuHfXq1WPz5s1FyzZv3kxYWBht27at8Pa8vLwICQkhIiKC119/ncjISLZs2aJ33QYN5OIybdu2RaFQ0LNnT+BeZsjixYupXbs2jQtz79avX0+HDh2K9vHEE09w/fr1ou2VnIoSFxeHr68vP//8M1FRUXh6etK3b19Si5U2L5mF0rNnT6ZOncpLL71ErVq1CAkJYd68eTrjPnnyJN27d8fV1ZVmzZqxa9cuFAqFweepz+3btxk9ejR+fn64u7vTr18/Tp8+XXT/+fPnGTRoEH5+fnh4eNC8eXN++umnoseOHDmSwMBA3NzciIyMZM2aNUbvWxAE6wgNhVu34PJl46uzC4JV5V6HO/9CQbZZdxMbG8vu3bt57733ijI/U1JSADhx4gT9+/fH09OT4OBgRo0aRVpaWtFj//e//9GyZcvC90N/Jk/uRU5OFp9+Oo+tW9eye/d3dOyoICBAQXx8vN79F9+Gv78/vXr1IqvY56rvv1/DY49F0a2bK/36NeXzz5cX3Wfos4y9KK+bhLHFKitaLNOeFe+GMm4c/PuvvNzQ8UlIkLM4tN1T5s+Xb8U+ugslHDpk/Lo1fQqP0Vz8oeMncG4NfO0JfzwCdQZBg9HWHlmViMCGsTw9K3779tt7j//2W3lZiTCiY6NwPO7vAPffj0P9evceW0n/93//p3Ni/NlnnzFmzJhKb684V1dXVCqV3vsOHDgAwK5du0hNTdUJrvzyyy8kJiayc+dOfvzxR0DO3Fi4cCF///03W7ZsITk5WWeqjD7Z2dm89dZbrFu3jt9//50LFy4wffr0Mh+zdu1aPDw8SEhIYOnSpSxYsICdO3cCoNFoGDJkCO7u7iQkJPDpp5/y6quvGns4isTGxnLo0CG+//579u3bhyRJ9O/fv+hYTZkyhby8PH7//XeOHTvGkiVL8Cz8Hc+ZM4cTJ06wbds2EhMT+fjjjwkICKjwGARBsCxX13udUZYuhfPnrTseQSjTP/NgczD81BK+qwfXdpttV++99x5dunRh/PjxpKamkpqaSlhYGKmpqfTo0YM2bdpw6NAhtm/fzrVr1xg+fDgAqampjBgxgjFjxpCYmMju3fEMHjwUSZJ48snp9Oo1nC5d+rJtWyrbtqXSqlXXUvsuuY34+HiGDpW3kZkJH3+8ko8/fpVJk97g668TefrpRcyePYe1a9cCZX+WsQflBS6MLVYpuqLIDAV4tm3Tv/7ChfeCIOvWlX5cTQwMlUUbNNq61bj1a/qUqAprNAb6/wNdPocHdsh1NhwcrT2qKhFTUezMqFGjmDVrVtE80T179rBhwwaDVzaMUVBQwPr16zl27BiTJk3Su05gYCAA/v7+paaQeHh4sGrVKp0pKMWDLQ0bNuT999+nU6dOZGZmFp30l6RSqfjkk09o1KgRAM888wwLFiwoc+ytWrVibmFvs8jISD788EN++eUXYmJi2LFjB2fPniU+Pr5ozG+88QYxMTFlbrO406dP8/3337Nnzx66Fk5Y/eKLLwgLC2PLli089thjXLhwgWHDhtGyZcui56t14cIF2rZtS4cOHQC5tokgCNXDsGHQowfs3i2nGW/caO0RCYIel36Af+dDi9cgtDf8Mwf+GAqDz8tzq03Mx8cHZ2dn3N3ddT4PfPzxx7Rr145FixYVLfvss88ICwvj1KlTZGZmUlBQwNChQ6lfvz4ALVu25ORJuaaGi4sbKlUeAQHyNiWp9L5TU1P1bgPg5k1YvXoh06a9zYMPDgWgTp0GpKaeYMWKFTz11FNlfpaxB2UFLipypXvHjopv3x4ZCuT88IP+5eWdoC9cCIXX/2q88rKL9Pn2Wxg71jzjsVs+zeSbnRCBDWNVtVLVI4/I23AokSSTksLVpHRCss6iUrqibFm1F1dAQAADBgxg7dq1SJLEgAEDKp0BMHPmTGbPnk1eXh7Ozs7MmDGDCRMmVHg7LVu2LFVX48iRI8ybN4+jR49y69YtNIWFUy9cuECzZvqPgbu7e1FQAyA0NFRn+oo+rVq10vm5+GOSkpIICwvT+fDSqVMn458YkJiYiJOTE9HFPg34+/vTpEkTEhMTAZg6dSqTJk1ix44d9OrVi2HDhhWNa9KkSQwbNoy//vqL3r17M2TIkKIAiSAItk2hgGXLoH17+PprmDIF7r/f2qMShBLS9oF7GLQqnKTe+k3YEQ13T0GtdhYbxuHDh/ntt9/0Xrw4e/YsvXv35qGHHqJly5b06dOH3r1707fvo2Rm+undnr5ioK1bty61jUcffRQ/Pz9On77BtWsXWbhwLG+8Mb7oMWp1QY2p0aUtyFj8hHHAAJgzx/igRkICrF9fenlFO6vYA0OBnL/+Kr0sMhKKzVLWa+tW+fjWtOOoT2Wyf8TxE8RUFGN5eFT85lQsbuTkJC8rWRzUwwPJ3x/c3HBycpDvr2IVujFjxhAXF8fatWurNA1lxowZHD16lPPnz5OZmcnSpUtxKBmYMYJHieeTlZVF79698fT0ZP369Rw8eJBvC6ft5OfnG9yOUqnU+VmhUCDpu2RTzmO0QRRJklAoFEY/D30M7b/4tseNG8e5c+cYNWoUx44do0OHDnzwwQcA9OvXj/PnzzNt2jSuXLnCQw89VO70GkEQbEebNjC+8Bxp6lTd0kqCYBNcgyH3Gtw5Lv98Pb5weZBFh6HRaBg0aBBHjx7VuZ0+fZr7778fR0dHdu7cybZt22jWrBkffPAB7do14fLlZL3b09cNXt82mjRpwr//JpOeLr/3v/rqSr744mjRbcOGf/n++/1mfOa2ZckSueuGtvvGjz/KJ4La2g/lTYcwdMJZgWRXu1GRzh3lBTW0atp0HkMMZQWVRxy/mk0ENmyAo5szBTiiQILc3Cpvr2/fvuTn55Ofn0+fPn0qvZ2AgAAiIiKoXbt2uQEAbUaGWq0ud7snT54kLS2NN998k/vuu4+mTZuWm3lhDk2bNuXChQtcu3ataNnBgwcrtI1mzZpRUFBAQrFPAjdv3uTUqVNERUUVLQsLC2PixIls3ryZF198kZUrVxbdFxgYSGxsLOvXr2fZsmV8+umnVXhWgiBY2uuvg58fuLtDsTqIgmAbGo2RK93/3AG+j4SjMyFqOrjXNdsunZ2dS30eaNeuHcePHyc8PJyIiAidm/YCiEKhoFu3bsyfP58jR47g7OxMfLx84UOp1N2mobav+rbx7bff4u8fTFBQHS5fPkdYWITOrV69BkXjBuM+y1Rn0dH3MiwSEmDgwHu1Hzp3Lrv1q6HrTzVtGorW0KGm3V5NPY7FGcoKMkZhGT2hhhJTUWyAi4uCbNzx5q7cEcXdvUrbc3R0LJoG4ehouAhMenp6qV7ttWrVqlRr2KCgINzc3Ni+fTt169bF1dXVYGpnvXr1cHZ25oMPPmDixIn8+++/LFy4sML7rKqYmBgaNWrEU089xdKlS7l7925R8VBjMzkiIyMZPHgw48ePZ8WKFXh5efHyyy9Tp04dBg8eDMC0adPo168fjRs35vbt2/z6669FQY/XXnuN9u3b07x5c/Ly8vjxxx91AiKCINi+gADYu1f+QFqJpDZBMC+lF/TeI7f1y7kK/p2g3mNm3WV4eDgJCQmkpKTg6elJrVq1mDJlCitXrmTEiBHMmDGDgIAAzpw5w4YNG1i5ciWHDh3il19+oXfv3gQFBZGQkEBa2g3atZPfE2vXDmf//p9JSUnC19cfT08f8vKUOvXWExISSm3jxo0bNG8ub2P8+Hm89dZUPDy86dq1HypVHidOHMLN7TazZr1Qoc8y9qCirV8NrQ/w0Uc1cwqAKTMEauJ0Hn2MPaZ9+8L27brL1q2Tp4WK41gziY9gNsDZGbKRr1ZI2aZpw+bt7Y23t3eZ68THx9O2bVud22uvvVap/Tk5OfH++++zYsUKateuXXRSr09gYCBxcXF88803NGvWjDfffJO3tO0FLMjR0ZEtW7aQmZlJx44dGTduHLNnzwbkDjDGWrNmDe3bt2fgwIF06dIFSZL46aefiqbBqNVqpkyZQlRUFH379qVJkyYsXy63l3N2dmbWrFm0atWqKBV3w4YNpn+ygiCYVdOmIqgh2DClt5yl0e4tqD9cLhBjRtOnT8fR0ZFmzZoRGBjIhQsXqF27Nnv27EGtVtOnTx9atGjBc889h4+PDw4ODnh7e/P777/Tv39/GjduzOzZs3n77bcZNaof9evDkCHjqV+/CU891YGYmED+/ntPqTobhrYxdGg/PDxgyJBxzJ69ih9/jGPEiJZMmNCDHTviaNpUztioyGeZ6q6irV/LW9+YaSz2yFQZFqNGydODBOOPaWF94FLEdJSaSyGVV6TAzmRkZODj40N6enqpE//c3FySk5Np0KBBhU5sq0qjgeS/btGIc2jcPXBoJq7YW8uePXvo3r07Z86c0SlUakus9ToVBKF8WVkwbx506wZDhlh7NJVT1vukYHq2+LnEFl26JE8/0QoJgbpGzqbJzISTJ0svr18fChuh2CxzvQbWrZOnnhiyf7/uVe/y1gf5xHzUKNOMrzoZOND4lqQlVbR4a01RVnaQ1qpVMG5c6eUlX7tC9Wfs5xJxfckGODiASilPP1HkZMuRDsEivv32W3bu3ElKSgq7du3i6aefplu3bjYb1BAEwbZ98AG89RZMnCi3lxQEwfry8vQvr8lZVhVt/WrMVfSaWh9izpzy1ynsOlxKZQMi9q54kdu+fUvfP3Om3Nq1ZPHWirQtFuxPDf4v3bYoXF3kAqKSaQqICsa5e/cukydPpmnTpsTGxtKxY0e+++47aw9LEIRqato0aNYMrl2DZ56x9mgEwT5kZupma4Dh4qH66GsNW9bymmDz5tLLIiPlq+Bvvln6vn//LXt7NfmEsrzuKH37wj//wNy5+u8XUyf00xa53bZNDnLMnSvf9u+/9xot2eVH32tXqDlE8VAb4eqqIOOuN+4ualxr1uwgqxo9ejSjy8utFARBMJKrK8TFQZcusGEDDBsGjz5q7VEJQvVmKOMiLw+d4qGGeHrKU1dKTmUx5rH2yFC9jNOn5dT+U6fkE8biCrvUl/LAA7B4cc0NamgtWSIXXF24sHQWxvbt0K+f/P6gz5df1swpPBURHW34NVbWfULNIjI2bISLC5yjEZfdG0Nh2zNBEASh+unYEV5+Wf5+0iSwQjdrQbArVcm4yMyUp4W5uEDt2vKtaVPj63PYo/IyBJYu1S0EmpAAf/+tf92RI8VJpVZ0NPz4o5z1UtL27bBli/7Hbd9efv0SQVdCQs0tWCsYJgIbNkIbxTV0VUIQBEGoPl57DVq1grQ0iI0VpZMEoSq0GRfFGZNxcemSXDQ0ORnOn4crV+TbnTtmG2q1YEwtjFOn7p08vvii/nUaNpTrHAi6nJ0r/hhxkm6chAS5WGvnznIwqHNneRqUIIAIbNgM7VWH3FyQVAUgpqMIgiBUW87O8MUXctB6/344e9baIxKE6q1u3XtdTOrXLz/jQl9dDq2K1OewR+XVhADYufPeyeOePfrX+fJL04/NHlS2iKqotVG2mTPl12TJqT4lM4yEmksENmyENrDRVHMcxd9HISfHquMRBEEQqqZFC9i4EY4elYvyCYJQeZcuyVkXN27IX0+fLjs4UV4GbE3PkF2yxHBdh1Gj5AyCsjRsKKagmFpN7SpjDEN1YbREUEgAEdiwGQ4OcnCjQFvPVXRGEQRBqPYefhjq1bP2KAShetOXfZGeLk8zuXTpXh2N4oGO8upv1OSOKHBvmklJq1ZBTEz5jz93TlwlN6QyJ9k1uauMMco7piIoJIAIbNgUFxc4TzhpYW2gVi1rD0cQBEEwoR9+gOHDQa229kgEoXopK7vi6tV7dTS0gQ7QX5dDqyZ3RNEydKLo7Gz8SaK4Sq7fjh3Gr9utm2hTaoyyXpMiKCRoicCGDXF1hTxcyFWJLryVFRsby5AhQ6w9DEEQBB1pafDEE/DNNzBrlrVHIwjVS0WyK8qqn+HjY56OKPHx8SgUCu5Uo6qkhk4UGzc2rgZHWduoyRISYP1649c3VL9E0KXvNTlggAgKCbpEYMOGFC8gWhlXr17lueeeIyIiAldXV4KDg+nevTuffPIJ2dnZReuFh4ejUChQKBS4ubnRtGlT/vvf/yIVK1ha1pt0mzZtmDdvnsFxmCO4MG/ePNq0aWPSbQqCIFhKQMC9FoD//a8ouifYt9jYWBQKBRMnTix13+TJk1EoFMTGxuqsX9bnhhYtwunYUUHHjgq6d3fn8cdbsHnzCoPr5+UZnr4iyAydKGoNHQpz58q3/ftLryuukutXmSwWkflinCVL5Nfi55/LX3/8UbwGBV0iNcCGaFu+emRdg5O35Wbr3t5GPfbcuXN069YNX19fFi1aRMuWLSkoKODUqVN89tln1K5dm4cffrho/QULFjB+/Hhyc3PZtWsXkyZNwtvbmwkTJpjjqQmCINR4jz8Of/8NixfDmDEQFgb33WftUQmCeYSFhbFhwwbeffdd3NzcAMjNzeWrr76iXiUKz8yevYBu3caTk5PJjz/GsXjxRDw9fend+/FS67q4GJ6+kpenfxqKJEmo1WqcnGrOR+MlS+QAxsKFcqcJ7a1TJzhw4N56OTn31j116l5Wh1BaZbJYROaL8aKjxWtPMExkbBgpK8vwrWSGRVnrlmx2Uvy+ggL5/vyMHPlSQ0aG0eObPHkyTk5OHDp0iOHDhxMVFUXLli0ZNmwYW7duZdCgQTrre3l5ERISQnh4OOPGjaNVq1bsqMikQAPmzZvH2rVr+e6774qyQuLj4wG4fPkyjz/+OH5+fvj7+zN48GBSUlKKHhsfH0+nTp3w8PDA19eXbt26cf78eeLi4pg/fz5///130Tbj4uKMGk9eXh5Tp04lKCgIV1dXunfvzsGDB4vuv337NiNHjiQwMBA3NzciIyNZs2YNAPn5+TzzzDOEhobi6upKeHg4ixcvrvIxEgSh5lq4EAYPlk+uHn4Yjh+39ogEeydJEpJKt4W8pJJ0sjTNoV27dtSrV4/NmzcXLdu8eTNhYWG0bdu2wtvz9PQiICCEsLAIJk16nXr1Itm9e0up9UJCIC0thYAABTt2bGDMmK506+bK8OHNOXw4vig7VpuZ+vPPP9OhQwdcXFz4448/kCSJpUuX0rBhQ9zc3GjdujX/+9//dPbx008/0bhxY9zc3HjggQd0PssAnD9/nkGDBuHn54eHhwfNmzfnp59+qvBztpSS7TOLBzVA7kaxerUIahhDXyZMWcdLZL4IgunUnLB0FZVVZKp/f903haAgKDbzQ0ePHlB4ng9AeLg891pXONLBNLh716ix3bx5kx07drBo0SI8PDz0rqNQKPQulySJ3bt3k5iYSKQJ+hFOnz6dxMREMjIyigIEtWrVIjs7mwceeID77ruP33//HScnJ15//XX69u3LP//8g4ODA0OGDGH8+PF89dVX5Ofnc+DAARQKBY8//jj//vsv27dvZ9euXQD4+PgYNZ6XXnqJTZs2sXbtWurXr8/SpUvp06cPZ86coVatWsyZM4cTJ06wbds2AgICOHPmDDmF0af333+f77//nq+//pp69epx8eJFLl68WOVjJAhCzeXoKE9DiYmBvXuhb184dAiCg609MsEeSZJEwbkCpBwJZWMlCmcFUr6E6pQKhZsCp4ZOBj8fmML//d//sWbNGkaOHAnAZ599xpgxY4oueFREQYHuz87OrhQUqACoX/9edzmQW8ECfPjhDKZNW0aDBs344ot3ePHFh+naNZmWLf2LtvPSSy/x1ltv0bBhQ3x9fZk9ezabN2/m448/JjIykt9//50nn3ySwMBAevTowcWLFxk6dCgTJ05k0qRJHDp0iBdffFFnbFOmTCE/P5/ff/8dDw8PTpw4gaeNVis1dhrEuHH3vn/pJTmDQ9BPX3ZLQsK9n0EEiQTBHERgw5ZlZcnl8x0dy1ztzJkzSJJEkyZNdJYHBASQW5hOMmXKFJYUexeaOXMms2fPJj8/H5VKhaurK1OnTq3ykD09PXFzcyMvL4+QYuXI169fj4ODA6tWrSr6ELVmzRp8fX2Jj4+nQ4cOpKenM3DgQBo1agRAVFSUznadnJx0tlmerKwsPv74Y+Li4ujXrx8AK1euZOfOnaxevZoZRkUsGAAAOf9JREFUM2Zw4cIF2rZtS4cOHQC5/ojWhQsXiIyMpHv37igUCurXr1/p4yIIgqDl7i53SOneHR58UK6/IQhmUQBSjlQUzHAKd6IgpQApXyq6H6X5dj9q1ChmzZpFSkoKCoWCPXv2sGHDhkoFNrQzRAoKCti2bT1nzhxj2LBJeHtDYKB836VLcl2NK1e0+3+GBx8cBsDLL3/Mvn3bWblyNYsW3bukvmDBAmIK+5tmZWXxzjvv8Ouvv9KlSxcAGjZsyJ9//smKFSvo0aMHH3/8MQ0bNuTdd99FoVDQpEkTjh07pvMZ68KFCwwbNoyWLVsWbcNWVWYaxNKl8om7OCk3rOSUCX0/C4JgWiKwYSRDFbahdNzh+nXD6zqUmPxTInuRM2fkGShqJxccCwqrXxmZnVDyqsuBAwfQaDSMHDmSvBKTTWfMmEFsbCw3btzg1Vdf5cEHH6Rr165G7acyDh8+zJkzZ/Dy8tJZnpuby9mzZ+nduzexsbH06dOHmJgYevXqxfDhwwkNDa30Ps+ePYtKpaJbt25Fy5RKJZ06dSIxMRGASZMmMWzYMP766y969+7NkCFDio5DbGwsMTExNGnShL59+zJw4EB69+5d6fEIgiBo1aolZ2z4+IAZL5gLNZxCqUDZWInqlKoouAGgcJaXK5TmffEFBAQwYMAA1q5diyRJDBgwgIBKRvJee20mCxbMJi8vD6XSmVGjZjB06AQyMuSAhq9v6WKhjRp1KfreycmJZs06kJycSGrqvXW0FzYATpw4QW5ublGgQys/P79o+kxiYiKdO3fW+cylDYJoTZ06lUmTJrFjxw569erFsGHDaNWqVaWet7lFR8uZY9u3V+xxp06Jk3NBEGyLCGwYycAMD5OvW6sWqFSQq/TCoyBPno5STmAjIiIChULByZMndZZrrxBoi3YVFxAQQEREBBEREWzatImIiAg6d+5Mr169APAuLFqanp6Or6+vzmPv3Llj9FQQLY1GQ/v27fniiy9K3RdYeKllzZo1TJ06le3bt7Nx40Zmz57Nzp076dy5c4X2paWdP1wy4CNJUtGyfv36cf78ebZu3cquXbt46KGHmDJlCm+99Rbt2rUjOTmZbdu2sWvXLoYPH06vXr1KzbUVBEGojOL/tebny3OtZ8yQ60YLgqkonBU4hTsVBTUAnMKdUDhbJqI2ZswYnnnmGQA++uijSm9nxowZPPZYLFeuuBMQEKrz3n71aukLR4YoFArS0+/VPCs+hVej0QCwdetW6tSpo/M4l8J5LsbUJhk3bhx9+vRh69at7Nixg8WLF/P222/z7LPPGjdIC5o5s+JBDZD/zxIqrviUFBEYEgTTEsVDbYx2fmimonAuphF1Nvz9/YmJieHDDz8kKyurwvv08/Pj2WefZfr06UVv2JGRkTg4OOgU2gRITU3l8uXLpaa9FOfs7IxardZZ1q5dO06fPk1QUFBRQEV7Kx4kadu2LbNmzWLv3r20aNGCLwt7IurbZnkiIiJwdnbmzz//LFqmUqk4dOiQzjSXwMBAYmNjWb9+PcuWLePTTz8tus/b25vHH3+clStXsnHjRjZt2sStW7cqNA5BEITyTJsGy5ZB165QIkYtCFUi5UsUpOgWqNCZjmJmffv2JT8/n/z8fPr06VPp7QQEBFC3bgSBgbX11gXRd6L977/7i74vKCggMfEw4eFNDa7frFkzXFxcuHDhQqnPKmFhYUXr7N+/X+dxJX8GuSvMxIkT2bx5My+++CIrV66syNO1iIQEeVpJZTg7m3YsNcHMmdC5M4weLX+dOdPaIxIE+yICGzZG2/L1dkHhlA1tnY1yLF++nIKCAjp06MDGjRtJTEwkKSmJ9evXc/LkSRzLqdMxZcoUkpKS2LRpEyB3TZkwYQIvvvgiW7ZsITk5mT179jBixAiioqLKnJIRHh7OP//8Q1JSEmlpaahUKkaOHElAQACDBw/mjz/+IDk5md27d/Pcc89x6dIlkpOTmTVrFvv27eP8+fPs2LGDU6dOFQUgwsPDSU5O5ujRo6SlpZWaWqOPh4cHkyZNYsaMGWzfvp0TJ04wfvx4srOzGTt2LACvvfYa3333HWfOnOH48eP8+OOPRft899132bBhAydPnuTUqVN88803hISElMpgEQRBqKoZMyAiAs6fh27d5GkqglBVkkoqmoZSNP2kWAHRkt1SzMHR0ZHExEQSExPL/CySnp7O0aNHdW4XLlzQWUd78Uef0oXY4ZtvPuK3374lJeUkS5dO4e7d2zz88BgA9CVeeHl5MX36dJ5//nnWrl3L2bNnOXLkCB999BFr164FYOLEiZw9e5YXXniBpKQkvvzyy1Kd2qZNm8bPP/9McnIyf/31F7/++qvOBRVbsXBh5R8rWpRWjL4g0tKl8nJBEExDTEWxMe7u8tfMfBckZxcU+cbV2WjUqBFHjhxh0aJFzJo1i0uXLuHi4kKzZs2YPn06kydPLvPxgYGBjBo1innz5jF06FAcHBx49913CQ0N5ZVXXiElJYWgoCAeeOABNmzYUGaf9/HjxxcVBM3MzOS3336jZ8+e/P7778ycOZOhQ4dy9+5d6tSpw0MPPYS3tzc5OTmcPHmStWvXcvPmTUJDQ3nmmWeYMGECAMOGDWPz5s088MAD3LlzhzVr1hAbG1vu8XzzzTfRaDSMGjWKu3fv0qFDB37++Wf8/PwAORNEW9jMzc2N++67jw0bNgBywdIlS5Zw+vRpHB0d6dixIz/99BMOxua7CoIgGKlBAzmYMXCg3GrxoYfk9opPPGHtkQnVmhMo3OTsBm1QQ1tzQ+GmsNinQO301rLEx8eXagP71FNP6QQNPD3lKbvGJk4+88ybfP75EpKSjlC3biPeeus7fH3lGh+GatssXLiQoKAgFi9ezLlz5/D19aVdu3a88sorANSrV49Nmzbx/PPPs3z5cjp16sSiRYsYM2ZM0TbUajVTpkzh0qVLeHt707dvX959913jBm0hCQml27waa8AAMY2iogx1nxG1SgTBdBSSuRuZ25iMjAx8fHxIT08v9Uabm5tLcnIyDRo0wFWbOmEFx4/Lcz9beqXgcjdN7gNYmAIpCLbyOhUEwfSysmDECLlrCsCzz8Jbb1k27bus90nB9Mz9uUSSJChAp1CopJLkoEc1rFx78yYkJ5e9zpUrKQwe3ID164/QpEkbves0bSoHSmydud7z162Tp0RUxv794mS8ohIS5OknJYljKQjlM/Zzibj0bIO0b7R3HQp/cbdv68+ZFARBEOyKhwd8+y3Mni3/vG4dOh0cBKGiFApFqe4nCqWiWgY1oOzpKCXVqQP+/qWXh4RUj6CGOVV2Kkm3buJEvKK0BUNHjdJdPnOmOJaCYEpiKooN8vSEGzcgrcCXAEdHucJVZiaUaJUqCIIg2B9HR3nue6dO4OQE9evfu0+SRHtYoWbz9JQDEyVbuxZXONsUjUbO8ChJlMqST6hfeqnixUPffts847FXM2fqHuMnn4TevUVXFEEwB5GxYYO0VxGysh2QfAvfne/csdp4BEEQBMsbNAj69bv385Yt8s+nT1ttSIJgE+rW1Q34FeftDffdF87FixLe3m30rmNE/fEaYckSeSrE55/D3Lnlry9qa1SMvoKh69eLoIYgmIsIbNggZ2dQKuUrc9newdCkifwuLgiCINRIKhU89xz8/DO0aAGzZsmJfIJQUxmq4+3vL/9tlJXRUZHpLPYuOlqeIlE8iGrII4+Yfzz2pKyCoYIgmJ4IbNggheJe1kZGvps8BUXkHguCINRYSiXs3Al9+8qzE998Exo2lAuLZmdbe3SCYHmGghMuLvpbv2qJ+hr6aaemlGXcOHlqhWAcQ3VMRKtcQTAPEdiwUR4e8ledK3KigKggCEKN1bgx/PQTfPcdNGok12KaMQPuv1+8PQg1j6dn6cKg/v5ysV1DgY2AAJEAW5biU1NKFrrUWrpUnmIhlE9fsEgUDBUE8xGBDRtVVGcjCySNBs6fh3/+kfORBUEQhBpJoYCHH4bERPjsM2jQAMaOFUl9Qs1z6ZJuYVBXV/nn9HTDjwkIMP+4qrvoaDmIum6d4XXEVArjFQ8W7d8vZ9sJgmAeoiuKjXJ3lz+oFhRAbp4DbllZclAjI0N/7zJBEAShxlAq4f/+T66wLwg1jb4aGrm5ZT9GTEExXnmBCzGVomKio0WWhiBYgghs2CgHB3k6SmamnLXhVqeO3LdM28NMEARBqPGUSmuPQBAsr6JdTUJDoU4d84zFHpUVuBBTKQRBsFViKooN015ZSEsDydtHBDUMSElJQaFQcPToUWsPRRAEQRAEM6toV5PUVHnqiiX07NmTadOmWWZnZqKvNsSAAWIqhSAItk0ENmxYYKCcuZGZCdevF7tDpYK7d3XWjY2NRaFQMHHixFLbmTx5MgqFgtjYWJ31hwwZYnDf4eHhKBQKFAoF7u7utGjRghUrVhhc31zBBYVCwZYtW0y6TUEQBEEQzOvq1as899xzRERE4OrqSnBwMN27d+eTTz4hu1grn+KfN9zc3GjatCn//e9/kYpVxI2Pj0ehUHDnzh1AvvCjLbL+xBNt+PTTeUaMR7RIroiStSF+/FFkagiCYNtEYMOGubhAWJj8/aVLkJOD3Nfv33/hzBl5jkoxYWFhbNiwgZycnKJlubm5fPXVV9SrV6/C+1+wYAGpqan8888/DBkyhIkTJ7Jx48aqPCVBEARBEOzcuXPnaNu2LTt27GDRokUcOXKEXbt28fzzz/PDDz+wa9cunfW1nzcSExOZPn06r7zyCp9++qnB7Wun6VaUsVNY8vPzK75xOxQdLXdHEQENQRCqAxHYMFZWVmGLkmI99fLz5WUl3ym162o095apVPKyktWtDK1bKCAAfHzk3SYnQ56DmxzxUKvh5Em531/hmNq1a0e9evXYvHlz0eM3b95MWFgYbdu2rfBT9vLyIiQkhIiICF5//XUiIyMNZk80aNAAgLZt26JQKOjZs2fRfWvWrCEqKgpXV1eaNm3K8uXLi+7Lz8/nmWeeITQ0FFdXV8LDw1m8eDEgX8UBeOSRR1AoFEU/G2P37t106tQJFxcXQkNDefnllykoKCi6/3//+x8tW7bEzc0Nf39/evXqRVbhp6T4+Hg6deqEh4cHvr6+dOvWjfPnzxu9b0EQBEGwRTezb5a/kglMnjwZJycnDh06xPDhw4mKiqJly5YMGzaMrVu3MmjQIJ31tZ83wsPDGTduHK1atWLHjh0Gt1+RGhvz5sUyffoQVq6cT9OmQXh7ezNhwgSd4EXPnj155plneOGFFwgICCAmJgaAEydO0L9/fzw9PQkODmbUqFGkFeslm5WVxejRo/H09CQ0NJS333671P6XL19OZGRkUdbKo48+avzgBUEQBKOJwIaxPD3lW/Hm6P/9r7zsmWd01w0KkpdfuHBv2UcfycvGjtVdNzxcXp6YeG9ZXFzRtwoF1K8PTk5yssaxfxUcL2hMptJXDmicP0/u8bPkZ+ajypf4z3/+j1Wr1pCdLcdQVq36jNjYMSY5BK6urqgMtJs9cOAAALt27SI1NbUouLJy5UpeffVV3njjDRITE1m0aBFz5sxh7dq1ALz//vt8//33fP311yQlJbF+/fqiAMbBgwcBOTCSmppa9HN5Ll++TP/+/enYsSN///03H3/8MatXr+b1118HIDU1lREjRjBmzBgSExOJj49n6NChSJJEQUEBQ4YMoUePHvzzzz/s27ePp59+GoXopSgIgmDX3njjDbp27Yq7uzu+vr5GPUaSJObNm0ft2rVxc3OjZ8+eHD9+3LwDraQrd6/wxbEvuHL3iln3c/PmTXbs2MGUKVPw0M4XKcHQe6okScTHx5OYmIiyjMq4Fa2xcfDgL1y5kkh8/G989dVXfPvtt8yfP19nnbVr1+Lk5MSePXtYsWIFqamp9OjRgzZt2nDo0CG2b9/OtWvXGD58eNFjZsyYwW+//ca3337Ljh07iI+P5/Dhw0X3Hzp0iKlTp7JgwQKSkpLYvn07999/f8UGLwiCIBhFdEWpBpydoVEjeTpKdjbk5DtxkkaEcJU6XMY19w7OuRk4ZWcyolMXFsx/mSO7DqJWOLN37x7mvLKe77+PR62Go0fluh23b8upnCdPysEThUJerv1aUCCvc/EiaDQFbN68nmPHjjFy5CSuX7+3rvbm4hIIgIuLPx4eISgUciLKggULWbTobfr1G4pCAbVrN2Dq1BN88skKRo58ipSUC0RERNK1a3ccHBTUr1+/6HkHBsrb9PX1JSQkxOjjtXz5csLCwvjwww9RKBQ0bdqUK1euMHPmTF577TVSU1MpKChg6NChRftr2bIlALdu3SI9PZ2BAwfSqFEjAKKiokzxaxQEQRBsWH5+Po899hhdunRh9erVRj1m6dKlvPPOO8TFxdG4cWNef/11YmJiSEpKwsvLy8wjNk62Kpt8dT5JaUmcuXWGpLQk3JXuODs64650N/n+zpw5gyRJNGnSRGd5QEAAuYVZq1OmTGHJkiVF982cOZPZs2eTn5+PSqXC1dWVqVOnGtyHp6fcvrVky1dDnJ2d2bjxM9zd3WnevDkLFixgxowZLFy4EAcH+RpfREQES5cuLXrMa6+9Rrt27Vi0aFHRss8++4ywsDBOnTpF7dq1Wb16NZ9//nlRhsfatWupW7du0foXLlzAw8ODgQMH4uXlRf369SuVQSsIgiCUz+qBjeXLl/Pf//6X1NRUmjdvzrJly7jvvvsMrr97925eeOEFjh8/Tu3atXnppZf0Fsw0OW3FKfdiHwJmzIBp0+R0iuK0lT7d3O4tmzIFxo8HR0fddVNSSq9brMinlpcXREXJM1DkGS0KCgpCuZbrg1v2TTQKRxRAA18nBnTrxq6tq5AkiYHdulLXV962JIFvQRphXMBNnUm6+t7TiuIEEoqim6NGxZuLX+Lt/75KXn4+zkolU0eN5ekHHkRx4TQAVwkhE/mD250r8jSO7PPXSXKVt3n79g0uXbrI5IljeGbyuKLnUqAuwNvTi/Sj5xjauRdfrl9H44YNeajL/fTu/iCtuzzCXYU32gs6d89e4/pfl0h1rFu0LER9CSVy9kjGFbnU+d2Tl7mDD//sP0T7Ji1I/zulcH0FrQLCyczM5PffLxES0pquXR6gZfMWPNj1fjr2GEL//o/i4+OHT24+Iwc/Sp/evXmgS3d6du7O0D4DCQ0K0v2FKO59yXP2Ite9FgAOkhqvjMLx+MlBE4UC3LJu4JSfU/QgvdeqSixXu7iR5xVY9Jzd0+QMoLte/uTkwJ9/QtDub/A7/gcKdANNFPu+5H2q+hHcHjUVBwc5QBWwbDYO2ZncnTwTKSQUBwdw270dl/jtBrehcFDc24f2vtAQuQ+c1pIlcO0aTJ4MERHysj17oNhUKaN4ekLxK2sffwxnz8oTf1u3lpf9/TesX1+x7YKcdaW1fj0cOwaDB0PXrvKys2ehjHneGLjqyOzZ99oaffedXHntoYegVy952bVr8N57FR/vc89BcLD8/S+/wK+/ypOfH35YXpaVBYVTuSpk7FgonE5GQgL88AM0bw4jRtxbZ86cim93+HAoDBry77+wcaOcpVY8c+3NNys+WX7gwHuTvpOTYc0audrys8/eW+eDD+SpehXxwAPyDeT/xz/6SP4/v/jres2ae/9vG6tjR3nMID9X7etu3rx763zzDVT0Sn+zZvIxFkxCewU/rljWZFkkSWLZsmW8+uqrDB06FJBPbIODg/nyyy+ZMGGCuYZqNJVaRdzROK5mXqVAU0BGXgY7z+3kt5TfCPEMYXy78SgdzdMzuGRWxoEDB9BoNIwcOZK8EnNJZsyYQWxsLDdu3ODVV1/lwQcfpKv2/2ED6tYFX9/yWx67ukLbtq1xL/b5rUuXLmRmZnLx4sWiCxwdOnTQedzhw4f57bff8NT+X17M2bNnycnJIT8/ny5duhQtr1Wrlk5AJyYmhvr169OwYUP69u1L3759eeSRR3TGIgiCIJiGVQMbGzduZNq0aSxfvpxu3bqxYsUK+vXrx4kTJ/QWu0xOTqZ///6MHz+e9evXs2fPHiZPnkxgYCDDhg0z72D1pVM6O8s3Y9ZVKvW/+xpa1wBHR/D2lm8yd8AdB38/QAPh4Yx56imemT0bJIkPX32VRk2VeHvLtTpqh6hxvKrBWSnh4SFngkgaCY/kbJ39KJCYMWoUsQMH4u7qSmhAQOGHlHvdWLLd/MFRDpionOUgg5dDNq6u8jInJ7luyMpXXyG6RQvd5+HggD+3eLBpbVK2fMu2vXvZdeAA42Y9Q9dO/2PBkh+K1vWS7uKlucMFzb2rIF7cwQ35yk+6+ra8TH0H34KbOGnycZHy8S24N5fYUyWvk5mpIDPTkU/e+5GMf75i2/4DxMV9wNtvv8qaNQk8WCef9bNn8uJjQ9i+dy/f/fQtr3/wFjs//JDO2hO0ErKy4codObDhhIYQ5JOpxKx72ScNycCb24Z+rXrdwo9zNwKLfu6AHDC7lO7H9TSYOBFmnI9nCssNbUKveHrwwOJ7V8Kus4JA0ugaN54ThAIwl/3Mo2In3sdpRqtXZhZl/Rwt+Jxm0gn6ffwwe5QRODjA+Pyj/DfnnQptN00RQPNP7gU2Nt/eSDfVbsatjOZHNzmwMSj3FCvT36rQdgFC18snmAoFrLj9HYNy/8crn9QjzkP+QN0l7yKbbi0taxN6tVr7Ircc5Q/Dr9/ZQWzWct75yIV3vHuhUEBjVRq/XKt4AKLXmpGcUsqBjefT/+D5jEWs85zE7FpyYKOWOpsjl9+o8Hb/s6oXCW5yYOPJjMMsvPUGP7k/ypRXRhTFbs4lv17h7T77aUt+8pT/bvpnJfLBtddJcO3ByMX3AhsJye/gr6lYAGL+ihC+8JUDG52yz7P+8kLOOEfR/wM5sKFQwI8pnxCZf6JC2/1wuQMfBsiBjUZ5aWxNWcAtxwC6xd0LbKw9v5ZOObsrtN0NfpNYGCoHNvwKsvnzlPx6bv7NvKLxvnXxG/pmfFOh7e7wfpQXF8qBjf/8B159tUIPF6ooOTmZq1ev0rt376JlLi4u9OjRg7179xoMbOTl5emc2GdkZJhtjEpHJTENY/jh1A+cTDtJh9od+OfaP0QFRBHTMMYsQY2IiAgUCgUnT57UWd6wYUMA3IpfyCkUEBBAREQEERERbNq0iYiICDp37kyvwmCwd+GHnvT0dJ1pQp6ekJl5B09PHz3blG+ennDrlv6xFg++lJw2o9FoGDRokE5miVZoaCinT5/Wv9FivLy8+Ouvv4iPj2fHjh289tprzJs3j4MHDxo93UkQBEEwjlUDG++88w5jx45l3Dj5av6yZcv4+eef+fjjj4sKSBb3ySefUK9ePZYtWwbIUwQOHTrEW2+9ZTCwYckPEFbn6AgBAfR98knyX3kFgL5PP42DoyMODvLdzqEBEOCDg5cHyowM/PwACXCKlKMR2iKmTk4ENGxIhHYuaPGiqYU/1/b2oHbhPNcrLvKHDucQH+7FMIKpExrKucxMRpa48iIV26SnBI81ieLR2LE8Ev8bA0aOYHWdW/j51UKpVJLn5YtD7RCifO4NRXEnhDx1ARKQlytvKM8vmBz/OkQ2a8V327eS7Ve76Ip6/JmdeHl60alTHXkajVpJQ7/+tOo5kCkLAmjfvj5Hj35Lz5ZPcbfAm4iOdXimwwNMmQq9Hh9E3K9/0qxLH6TiT0D7xcmDwML4lkLjwJ0cOTjg73ZvvKp8P26pXaHkYSy2rZLL8h3c8Cz2F5qWJ2/XxdEBZ2c5gydJ0ZcVWbWQJErdkCS9yy84hFPLWf5VSxJ8nDMNNymbLMcAXApfAnvV97FYM6vk0Mp0naCil49aDSsZRxDXScqtx93Cmrl/0o43mWl4I3pkS+467Y7X8R/20IkDGU24VvjnnEATljJD7+MVBp6FAkknjfkbBpFEfXZntCG1cLt/U5e3eaFC4wU4d9UNbQ7CDzzILVzYcbczlwvjggXU4l2mVXi7x6/WQjvkHUTjwFT+zOzOhcLMq5u48R6G07cNOXytDimF38fTkvd5lqPZbXQSE97nWT2PLNue6xGcK/zd/UkEH/AMZ3IjOHv23jqfMhZPKtaD8ZcbLTldGAuRqMMHPMPV/BCKn2esZQQhGJmnXuinm51IKoyHpuPHh0whU+1J8fOzL3iEA7TQvwED/rzdnROFcU1PXPmIyQCcKBZ3+YY+nCVQz6MNO5LRln//lb+/Yt6yCYIeVwv/AwnWZlEVCg4OLrPg9OLFi0vVdzCnSP9IOtXpxMm0kxy/fhwFCjrV6USkf6RZ9ufv709MTAwffvghzz77rME6G4b4+fnx7LPPMn36dI4cOYJCoSAyMhIHBwcOHjyoM2U1NTWVK1cuU79+k1Lb8fK6lzj3999/k5OTUxRU2b9/P56enjrTRkpq164dmzZtIjw8HKeSmbnIARylUsn+/fuLLsbdvn2bU6dO0aNHj6L1nJyc6NWrF7169WLu3Ln4+vry66+/FmX5CIIgCKZhtcBGfn4+hw8f5uWXX9ZZ3rt3b/bu3av3Mfv27dO5MgLQp08fVq9ejUql0ltoytIfIGyBo6MjiYXFSB1LTn1xdJRvDg6kp6dz9OhRnbtr1aolv0E7OMjZJP7+Ru0zqF493Nzc2L53L3WbNcPV1RUfHx/mLVjA1KlT8a5dm379+pGXl8ehQ4e4ffs2L7zwAu+++y6hoaG0adMGBwcHNv+6i5CQEIKDfXFwkDuj7P77L3oMHohL/m38/PzkHXoGFO3bRZLPml1qB+DWIJTnXnmJj+JW8dK7i3jmmWdISkrijQ/f4YUXXyAoyIGEhAR++eUXevfuTVBQEAl/bubmzRt06hTFLUUGn675lIcffpjatWuTlJTE2Ysp/N+EcXg3rW3M0QfqAOCre2SNOo4l6e5R3q5nbi4KR/j2W3B1HQQM0vPIsr2r85N8mVc3LPAQ8FBRMESjMe72suZewESjeR6NBv6js06XwlvZ4ysZR9NNtpennvXTWacVoJtZUXIb+sTorDNaXqazjQigdJX78vbzoM79w4Bh9ATuzdQOpfhvwZixShLoTtLrB/SjGzCzaBueUEamjaH9dNG5/z7gPqIB3evN7xs11uL3d9S5py3wAR2Ax3W2UTqIXd4+2umsEwl8AMhH5N42Zpe9ET37aQXce0cKRZI+BCBeZ63nKjRWSYLmFD+WXsBHAPyqs42xhTfjxgrQFNBOFqpTp+xx1FTz5s0r9zPAwYMHS01DqIiSUy4kSSqz4PSsWbN44YV7AdOMjAzCtL3dzSQpLYnaXrXpVKcTBy4fIOlmEt3qdTPb/rSZuB06dGDevHm0atWqKDBx8uRJ2rdvX+bjtTU4Nm3axKOPPoqXlxcTJkzgxRdfxMnJidatW3PlyhVeffVVmjSJIjq6d6ltFC8wmp+fz9ixY5k9ezbnz59n7ty5PPPMM0X1NQyNYeXKlYwYMYIZM2YQEBDAmf9v7+6DorrOP4B/l115X1cFcVkICNUGw4svkFitVVJt0JhqaqeNRhGjplWDiiiIoTGMEZRJidRWSaSO2piKzYhpYqkVUjEmEKkIVYMaU0F8gaAEAcfwInt+f/DjysqLCy4sl/1+ZnYG7j33cp4Hdvfh7D3nfvMN0tLSkJqaCkdHRyxZsgRRUVFwcnLCsGHDEBsba3DOI0eO4MqVK5g8eTIGDx6MjIwM6PX6NuuPEBHR4zPbwMbt27fR1NTU7icd5R2sBlVeXt5u+/v37+P27dtwdXVtc4w5Coi+YOCDuSodys7ObrOIVVhYmNHzi1tTqVTYvn07Nm3ahI0bN+InP/kJsrOzsXTpUtjb2+Ptt99GdHQ0HBwc4O/vj4iICACAo6MjEhMTcfnyZSiVSjz99NPIyMiQCoOkpCRERkYiNTUVbm5uKDFibrubmxsyMjIQFRWF0aNHY8iQIVJBAzTn5rPPPkNycjJqamrg6emJpKQkzJgxA99++y0uXryIffv2obKyEq6urggPD+8Tc6XNofXCskREchMeHo65c+d22qYrtxJvrWVR6/LycoP6o6Kiok2t0pqNjQ1sunpbj8fk6+KLkBEhcB/ojoBhAbj+/2tB9ZQf/OAHKCgoQEJCAjZs2IDr16/DxsYGTz31FNatW4cVK1Z0evzQoUMRGhqKuLg4zJkzB1ZWVtIHIa+//jpKSkrg4uKCZ599Fmlpabh/X2VwBZ5W++BqDQCYOnUqRo4cicmTJ6O+vh5z585FXOs1btqh0+nwxRdfYP369QgJCUF9fT08PT0xffp0qUZ5++23cffuXcyaNQtqtRpr165FdXW1dI5BgwYhPT0dcXFxqKurw8iRI3HgwAH4+vp2OadERNQ5hRDGfFZoejdv3oSbmxtycnIMFl6Kj4/H+++/32ZuJgD88Ic/xCuvvIINGzZI27744gtMmjQJZWVlRt05o6amBhqNBtXV1W3++a+rq0NxcTG8vLxga2v7GNER9Rz+nRJRT+rsfdIS7N27FxEREbhz506n7YQQ0Ol0WLNmDaKjowE0Xxng4uKCxMREowfEWZeYxt27QH1985UarQc1Fi1ahDt37uCjjz4yW98eB/8GiMjSGVuXmO1zWGdnZyiVyjZXZ3T2SYdWq223vUqlgpORUyaIiIiIHlZaWorCwkKUlpaiqakJhYWFKCwsxN27D9aA8fHxweHDhwE0T0GJiIhAQkICDh8+jPPnz2PRokWwt7fHyy+/bK4wLJajY/Ps2XZuYkJERBbAbFNRrK2tERgYiMzMTPziF7+QtmdmZmL27NntHjNhwgR88sknBtuOHTuGoKCgdtfXICIiIjLGxo0bsW/fPun7lqmax48fR3BwMADg0qVLBlMNoqOj8f3332PFihWoqqrC+PHjcezYMajV6l7tOxERkaUz611RIiMjERoaiqCgIEyYMAG7du1CaWkpli1rXhxww4YNuHHjBv7yl78AAJYtW4Y//elPiIyMxKuvvorc3Fzs3r0bBw4cMGcYREREJHN79+595BpTD8/eVSgUiIuLe+R6DWQ+3Vk3jIiI5MesAxsvvfQSKisrsWnTJpSVlcHPzw8ZGRnSrbzKyspQWloqtffy8kJGRgbWrFmDHTt2QKfTYfv27R3e6pWIiIiIiIiI+jezDmwAwIoVKzpcHbu9UfYpU6bgzJkzPdonM62nSmQU/n0SEVkWvu5bLv7uiYiMw5s4ttKyTse9e/fM3BOijjU0NAAAlEqlmXtCREQ9iXUJ8T2fiMg4Zr9ioy9RKpUYNGgQKioqAAD29vZQKBRm7hXRA3q9Hrdu3YK9vT1UKj59iYj6M9Yllo3v+URExuOr5EO0Wi0ASEUEUV9jZWUFDw8PFrdERBaAdYll43s+EZFxOLDxEIVCAVdXV7i4uKCxsdHc3SFqw9raGlZWnEVGRGQJWJdYNr7nExEZhwMbHVAqlZzPSERERH0C6xIiIqKOcQiYiIiIiIiIiGSLAxtEREREREREJFsc2CAiIiIiIiIi2bK4NTaEEACAmpoaM/eEiIio72l5f2x5v6SexbqEiIioY8bWJRY3sFFbWwsAeOKJJ8zcEyIior6rtrYWGo3G3N3o91iXEBERPdqj6hKFsLCPZPR6PW7evAm1Wv1Y9wSvqanBE088gWvXrmHgwIEm7GHfwPjkjfHJG+OTN7nHJ4RAbW0tdDodbzPZC0xVl7Qm97/BvoS5NB3m0rSYT9NhLk3L1Pk0ti6xuCs2rKys4O7ubrLzDRw4sF8/ARifvDE+eWN88ibn+HilRu8xdV3Smpz/Bvsa5tJ0mEvTYj5Nh7k0LVPm05i6hB/FEBEREREREZFscWCDiIiIiIiIiGSLAxvdZGNjgzfffBM2Njbm7kqPYHzyxvjkjfHJW3+Pj/o+/g2aDnNpOsylaTGfpsNcmpa58mlxi4cSERERERERUf/BKzaIiIiIiIiISLY4sEFEREREREREssWBDSIiIiIiIiKSLQ5sEBEREREREZFscWCjm3bu3AkvLy/Y2toiMDAQJ0+eNHeXumzLli14+umnoVar4eLighdffBGXLl0yaCOEQFxcHHQ6Hezs7BAcHIyvvvrKTD1+PFu2bIFCoUBERIS0Te7x3bhxAwsWLICTkxPs7e0xZswY5OfnS/vlHN/9+/fxu9/9Dl5eXrCzs4O3tzc2bdoEvV4vtZFTfJ999hl+/vOfQ6fTQaFQ4KOPPjLYb0ws9fX1WLlyJZydneHg4IBZs2bh+vXrvRhFxzqLr7GxEevXr4e/vz8cHByg0+mwcOFC3Lx50+Acco3vYb/97W+hUCiQnJxssL0vx0f9R3+oT3qaqeofPqfb6m6txVw2M0Vdx1w2M1UdaYn57K2ataqqCqGhodBoNNBoNAgNDcWdO3e633FBXZaWliYGDBggUlNTRVFRkVi9erVwcHAQV69eNXfXuiQkJETs2bNHnD9/XhQWFoqZM2cKDw8PcffuXanN1q1bhVqtFocOHRLnzp0TL730knB1dRU1NTVm7HnX5eXlieHDh4uAgACxevVqabuc4/vuu++Ep6enWLRokTh16pQoLi4WWVlZ4ptvvpHayDm+zZs3CycnJ3HkyBFRXFwsPvzwQ+Ho6CiSk5OlNnKKLyMjQ8TGxopDhw4JAOLw4cMG+42JZdmyZcLNzU1kZmaKM2fOiGeffVaMHj1a3L9/v5ejaauz+O7cuSOmTZsmDh48KC5evChyc3PF+PHjRWBgoME55Bpfa4cPHxajR48WOp1ObNu2zWBfX46P+of+Up/0NFPVP3xOG3qcWou5NF1dx1w2M1UdaYn57K2adfr06cLPz0/k5OSInJwc4efnJ1544YVu95sDG93wzDPPiGXLlhls8/HxETExMWbqkWlUVFQIAOLEiRNCCCH0er3QarVi69atUpu6ujqh0WjEu+++a65udlltba0YOXKkyMzMFFOmTJHebOUe3/r168WkSZM63C/3+GbOnCkWL15ssG3OnDliwYIFQgh5x/fwm4Qxsdy5c0cMGDBApKWlSW1u3LghrKysxNGjR3ut78bo7B//Fnl5eQKA9A9Xf4jv+vXrws3NTZw/f154enoaDGzIKT6Sr/5an/S07tQ/fE4bepxai7lsZoq6jrl8wBR1JPPZczVrUVGRACC+/PJLqU1ubq4AIC5evNitvnIqShc1NDQgPz8fzz33nMH25557Djk5OWbqlWlUV1cDAIYMGQIAKC4uRnl5uUGsNjY2mDJliqxife211zBz5kxMmzbNYLvc4/v4448RFBSEX/3qV3BxccHYsWORmpoq7Zd7fJMmTcKnn36Kr7/+GgDw3//+F59//jmef/55APKPrzVjYsnPz0djY6NBG51OBz8/P9nFCzS/3igUCgwaNAiA/OPT6/UIDQ1FVFQUfH192+yXe3zU9/Xn+qSndaf+4XPa0OPUWsxlM1PUdczlA6aoI5nPtkyVt9zcXGg0GowfP15q86Mf/QgajabbuVV16ygLdvv2bTQ1NWHYsGEG24cNG4by8nIz9erxCSEQGRmJSZMmwc/PDwCkeNqL9erVq73ex+5IS0vDmTNn8J///KfNPrnHd+XKFaSkpCAyMhKvv/468vLysGrVKtjY2GDhwoWyj2/9+vWorq6Gj48PlEolmpqaEB8fj3nz5gGQ/++vNWNiKS8vh7W1NQYPHtymjdxee+rq6hATE4OXX34ZAwcOBCD/+BITE6FSqbBq1ap298s9Pur7+mt90tO6W//wOf3A49ZazGUzU9R1zOUDpqgjmc+2TJW38vJyuLi4tDm/i4tLt3PLgY1uUigUBt8LIdpsk5Pw8HCcPXsWn3/+eZt9co312rVrWL16NY4dOwZbW9sO28k1Pr1ej6CgICQkJAAAxo4di6+++gopKSlYuHCh1E6u8R08eBD79+/HX//6V/j6+qKwsBARERHQ6XQICwuT2sk1vvZ0Jxa5xdvY2Ii5c+dCr9dj586dj2wvh/jy8/Pxhz/8AWfOnOlyX+UQH8lLf3pN7A2mrn8sLd89WWtZWi57sq6ztFwCPVtHWmI+H2aKvLXX/nFyy6koXeTs7AylUtlmJKmioqLNyJVcrFy5Eh9//DGOHz8Od3d3abtWqwUA2caan5+PiooKBAYGQqVSQaVS4cSJE9i+fTtUKpUUg1zjc3V1xVNPPWWwbdSoUSgtLQUg/99fVFQUYmJiMHfuXPj7+yM0NBRr1qzBli1bAMg/vtaMiUWr1aKhoQFVVVUdtunrGhsb8etf/xrFxcXIzMyUrtYA5B3fyZMnUVFRAQ8PD+m15urVq1i7di2GDx8OQN7xkTz0x/qkpz1O/cPndDNT1FrMZTNT1HXM5QOmqCOZz7ZMlTetVotvv/22zflv3brV7dxyYKOLrK2tERgYiMzMTIPtmZmZmDhxopl61T1CCISHhyM9PR3//ve/4eXlZbDfy8sLWq3WINaGhgacOHFCFrFOnToV586dQ2FhofQICgrC/PnzUVhYCG9vb1nH9+Mf/7jN7em+/vpreHp6ApD/7+/evXuwsjJ8iVIqldJtuuQeX2vGxBIYGIgBAwYYtCkrK8P58+dlEW/LoMbly5eRlZUFJycng/1yji80NBRnz541eK3R6XSIiorCv/71LwDyjo/koT/VJz3NFPUPn9PNTFFrMZfNTFHXMZcPmKKOZD7bMlXeJkyYgOrqauTl5UltTp06herq6u7ntltLjlq4ltup7d69WxQVFYmIiAjh4OAgSkpKzN21Llm+fLnQaDQiOztblJWVSY979+5JbbZu3So0Go1IT08X586dE/Pmzeuzt9M0RuuVuoWQd3x5eXlCpVKJ+Ph4cfnyZfHBBx8Ie3t7sX//fqmNnOMLCwsTbm5u0m260tPThbOzs4iOjpbayCm+2tpaUVBQIAoKCgQA8c4774iCggLpriDGxLJs2TLh7u4usrKyxJkzZ8RPf/rTPnPLsc7ia2xsFLNmzRLu7u6isLDQ4PWmvr5eOodc42vPw3dFEaJvx0f9Q3+pT3qaqeofPqfb151ai7k0XV3HXDYzVR1pifnsrZp1+vTpIiAgQOTm5orc3Fzh7+/P272aw44dO4Snp6ewtrYW48aNk24RJicA2n3s2bNHaqPX68Wbb74ptFqtsLGxEZMnTxbnzp0zX6cf08NvtnKP75NPPhF+fn7CxsZG+Pj4iF27dhnsl3N8NTU1YvXq1cLDw0PY2toKb29vERsba/CPsJziO378eLvPt7CwMCGEcbF8//33Ijw8XAwZMkTY2dmJF154QZSWlpohmrY6i6+4uLjD15vjx49L55BrfO1pb2CjL8dH/Ud/qE96mqnqHz6n29edWou5bGaKuo65bGaqOtIS89lbNWtlZaWYP3++UKvVQq1Wi/nz54uqqqpu91shhBDdu9aDiIiIiIiIiMi8uMYGEREREREREckWBzaIiIiIiIiISLY4sEFEREREREREssWBDSIiIiIiIiKSLQ5sEBEREREREZFscWCDiIiIiIiIiGSLAxtEREREREREJFsc2CAiIiIiIiIi2eLABhEZLTg4GBEREUa3LykpgUKhQGFhYY/1iYiIiIiILJtCCCHM3QkiMi2FQtHp/rCwMOzdu7fL5/3uu+8wYMAAqNVqo9o3NTXh1q1bcHZ2hkql6vLPM4WSkhJ4eXmhoKAAY8aMMUsfiIiIiIio55jnPw0i6lFlZWXS1wcPHsTGjRtx6dIlaZudnZ1B+8bGRgwYMOCR5x0yZEiX+qFUKqHVart0DBERERERUVdwKgpRP6TVaqWHRqOBQqGQvq+rq8OgQYPwt7/9DcHBwbC1tcX+/ftRWVmJefPmwd3dHfb29vD398eBAwcMzvvwVJThw4cjISEBixcvhlqthoeHB3bt2iXtf3gqSnZ2NhQKBT799FMEBQXB3t4eEydONBh0AYDNmzfDxcUFarUaS5cuRUxMTKdXW1RVVWH+/PkYOnQo7OzsMHLkSOzZswcA4OXlBQAYO3YsFAoFgoODpeP27NmDUaNGwdbWFj4+Pti5c2ebvqelpWHixImwtbWFr68vsrOzu/CbICIiIiKinsaBDSILtX79eqxatQoXLlxASEgI6urqEBgYiCNHjuD8+fP4zW9+g9DQUJw6darT8yQlJSEoKAgFBQVYsWIFli9fjosXL3Z6TGxsLJKSknD69GmoVCosXrxY2vfBBx8gPj4eiYmJyM/Ph4eHB1JSUjo93xtvvIGioiL885//xIULF5CSkgJnZ2cAQF5eHgAgKysLZWVlSE9PBwCkpqYiNjYW8fHxuHDhAhISEvDGG29g3759BueOiorC2rVrUVBQgIkTJ2LWrFmorKzstD9ERERERNR7OBWFyEJFRERgzpw5BtvWrVsnfb1y5UocPXoUH374IcaPH9/heZ5//nmsWLECQPNgybZt25CdnQ0fH58Oj4mPj8eUKVMAADExMZg5cybq6upga2uLP/7xj1iyZAleeeUVAMDGjRtx7Ngx3L17t8PzlZaWYuzYsQgKCgLQfCVJi6FDhwIAnJycDKbFvPXWW0hKSpJy4OXlhaKiIrz33nsICwuT2oWHh+OXv/wlACAlJQVHjx7F7t27ER0d3WF/iIiIiIio9/CKDSIL1TII0KKpqQnx8fEICAiAk5MTHB0dcezYMZSWlnZ6noCAAOnrlikvFRUVRh/j6uoKANIxly5dwjPPPGPQ/uHvH7Z8+XKkpaVhzJgxiI6ORk5OTqftb926hWvXrmHJkiVwdHSUHps3b8b//vc/g7YTJkyQvlapVAgKCsKFCxc6PT8REREREfUeXrFBZKEcHBwMvk9KSsK2bduQnJwMf39/ODg4ICIiAg0NDZ2e5+FFRxUKBfR6vdHHtNzBpfUxD9/V5VE3b5oxYwauXr2Kf/zjH8jKysLUqVPx2muv4fe//3277Vt+VmpqapurUZRKZac/q73+ERERERGR+fCKDSICAJw8eRKzZ8/GggULMHr0aHh7e+Py5cu93o8nn3xSWhejxenTpx953NChQ7Fo0SLs378fycnJ0iKm1tbWAJqvSGkxbNgwuLm54cqVKxgxYoTBo2Wx0RZffvml9PX9+/eRn5/f6TQbIiIiIiLqXbxig4gAACNGjMChQ4eQk5ODwYMH45133kF5eTlGjRrVq/1YuXIlXn31VQQFBWHixIk4ePAgzp49C29v7w6P2bhxIwIDA+Hr64v6+nocOXJE6reLiwvs7Oxw9OhRuLu7w9bWFhqNBnFxcVi1ahUGDhyIGTNmoL6+HqdPn0ZVVRUiIyOlc+/YsQMjR47EqFGjsG3bNlRVVRksdkpERERERObFKzaICEDznUXGjRuHkJAQBAcHQ6vV4sUXX+z1fsyfPx8bNmzAunXrMG7cOBQXF2PRokWwtbXt8Bhra2ts2LABAQEBmDx5MpRKJdLS0gA0r4uxfft2vPfee9DpdJg9ezYAYOnSpfjzn/+MvXv3wt/fH1OmTMHevXvbXLGxdetWJCYmYvTo0Th58iT+/ve/S3dcISIiIiIi81OIR01eJyIys5/97GfQarV4//33e+1nlpSUwMvLCwUFBRgzZkyv/VwiIiIiIuoaTkUhoj7l3r17ePfddxESEgKlUokDBw4gKysLmZmZ5u4aERERERH1QRzYIKI+RaFQICMjA5s3b0Z9fT2efPJJHDp0CNOmTTN314iIiIiIqA/iVBQiIiIiIiIiki0uHkpEREREREREssWBDSIiIiIiIiKSLQ5sEBEREREREZFscWCDiIiIiIiIiGSLAxtEREREREREJFsc2CAiIiIiIiIi2eLABhERERERERHJFgc2iIiIiIiIiEi2/g9UGyDr69sN7wAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1300x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 最终测试结果\n",
    "gru_preds = test_gru(gru, x_test[0], hidden[:, -1], len(y_test)).numpy()\n",
    "mlp_preds = test_mlp(mlp, x_test[0], len(y_test)).numpy()\n",
    "\n",
    "plt.figure(figsize=(13, 5))\n",
    "\n",
    "# 绘制训练曲线\n",
    "plt.subplot(121)\n",
    "x_plot = np.arange(len(gru_losses)) + 1\n",
    "plt.plot(x_plot, gru_losses, color='blue', \n",
    "    label='GRU training loss')\n",
    "plt.plot(x_plot, mlp_losses, color='red', \n",
    "    ls='-.', label='MLP training loss')\n",
    "plt.plot(x_plot, gru_test_losses, color='blue', \n",
    "    ls='--', label='GRU test loss')\n",
    "plt.plot(x_plot, mlp_test_losses, color='red', \n",
    "    ls=':', label='MLP test loss')\n",
    "plt.xlabel('Training step')\n",
    "plt.ylabel('Loss')\n",
    "plt.legend(loc='lower left')\n",
    "\n",
    "# 绘制真实数据与模型预测值的图像\n",
    "plt.subplot(122)\n",
    "plt.scatter(np.arange(split), data[:split], color='blue', \n",
    "    s=10, label='training set')\n",
    "plt.scatter(np.arange(split, num_data), data[split:], color='none', \n",
    "    edgecolor='orange', s=10, label='test set')\n",
    "plt.scatter(np.arange(split, num_data - 1), mlp_preds, color='violet', \n",
    "    marker='x', alpha=0.4, s=20, label='MLP preds')\n",
    "plt.scatter(np.arange(split, num_data - 1), gru_preds, color='green', \n",
    "    marker='*', alpha=0.4, s=20, label='GRU preds')\n",
    "plt.legend(loc='lower left')\n",
    "plt.savefig('output_20_0.png')\n",
    "plt.savefig('output_20_0.pdf')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "deepnote": {},
  "deepnote_execution_queue": [],
  "deepnote_notebook_id": "8d14356ac1854cb783c3ef14b7e3144b",
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
